Triple
T18204952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Longformer |
E435878
|
entity |
| Predicate | citationVenue |
P53492
|
FINISHED |
| Object |
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics is a leading peer-reviewed conference volume featuring cutting-edge research papers in natural language processing and computational linguistics.
|
E899071
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics | Statement: [Longformer, citationVenue, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics Context triple: [Longformer, citationVenue, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics]
-
A.
Annual Meeting of the Association for Computational Linguistics
The Annual Meeting of the Association for Computational Linguistics is a premier international conference that showcases cutting-edge research in natural language processing and computational linguistics.
-
B.
EMNLP
EMNLP (Empirical Methods in Natural Language Processing) is a leading annual conference in computational linguistics and natural language processing research.
-
C.
NAACL 2018
NAACL 2018 was a major computational linguistics conference where the influential ELMo deep contextualized word representation model was introduced.
-
D.
Association for Computational Linguistics
The Association for Computational Linguistics is a leading international scientific and professional organization dedicated to advancing research and development in natural language processing and computational linguistics.
-
E.
ACM Transactions on Asian and Low-Resource Language Information Processing
ACM Transactions on Asian and Low-Resource Language Information Processing is a peer-reviewed scholarly journal focusing on computational linguistics, natural language processing, and information processing for Asian and other low-resource languages.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics Triple: [Longformer, citationVenue, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics]
Generated description
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics is a leading peer-reviewed conference volume featuring cutting-edge research papers in natural language processing and computational linguistics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics Target entity description: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics is a leading peer-reviewed conference volume featuring cutting-edge research papers in natural language processing and computational linguistics.
-
A.
Annual Meeting of the Association for Computational Linguistics
chosen
The Annual Meeting of the Association for Computational Linguistics is a premier international conference that showcases cutting-edge research in natural language processing and computational linguistics.
-
B.
EMNLP
EMNLP (Empirical Methods in Natural Language Processing) is a leading annual conference in computational linguistics and natural language processing research.
-
C.
NAACL 2018
NAACL 2018 was a major computational linguistics conference where the influential ELMo deep contextualized word representation model was introduced.
-
D.
Association for Computational Linguistics
The Association for Computational Linguistics is a leading international scientific and professional organization dedicated to advancing research and development in natural language processing and computational linguistics.
-
E.
ACM Transactions on Asian and Low-Resource Language Information Processing
ACM Transactions on Asian and Low-Resource Language Information Processing is a peer-reviewed scholarly journal focusing on computational linguistics, natural language processing, and information processing for Asian and other low-resource languages.
- F. None of above.
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e222831081908f7d5500424e3acb |
completed | April 19, 2026, 2:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a039f0e52108190913cc5c667619d89 |
completed | May 12, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_6a039fdd9c4c819083b450657d0ece43 |
completed | May 12, 2026, 9:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03a0d6de8c8190b1f94c7de0856143 |
completed | May 12, 2026, 9:51 p.m. |
Created at: April 10, 2026, 10:32 a.m.