Triple
T8483064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nal Kalchbrenner |
E200564
|
entity |
| Predicate | hasPublishedIn |
P309
|
FINISHED |
| Object |
TACL
TACL (Transactions of the Association for Computational Linguistics) is a leading peer-reviewed journal publishing high-quality research in natural language processing and computational linguistics.
|
E736214
|
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: TACL | Statement: [Nal Kalchbrenner, hasPublishedIn, TACL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TACL Context triple: [Nal Kalchbrenner, hasPublishedIn, TACL]
-
A.
TLA
TLA is a formal specification language developed by Leslie Lamport for describing and reasoning about concurrent and distributed systems using temporal logic.
-
B.
TAC
TAC is the commonly used abbreviation for The Athletic Congress, the former governing body for track and field in the United States.
-
C.
TACC
TACC is an advanced driver-assistance feature that automatically adjusts a vehicle’s speed to maintain a safe following distance from traffic ahead.
-
D.
LTAC
LTAC is the ICAO airport code for Esenboğa International Airport, the main airport serving Ankara, Turkey.
-
E.
TALE Conference
TALE Conference is an annual IEEE international conference focused on advancing engineering and technology education across the Asia-Pacific region.
- 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: TACL Triple: [Nal Kalchbrenner, hasPublishedIn, TACL]
Generated description
TACL (Transactions of the Association for Computational Linguistics) is a leading peer-reviewed journal publishing high-quality research in natural language processing and computational linguistics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TACL Target entity description: TACL (Transactions of the Association for Computational Linguistics) is a leading peer-reviewed journal publishing high-quality research in natural language processing and computational linguistics.
-
A.
TLA
TLA is a formal specification language developed by Leslie Lamport for describing and reasoning about concurrent and distributed systems using temporal logic.
-
B.
TAC
TAC is the commonly used abbreviation for The Athletic Congress, the former governing body for track and field in the United States.
-
C.
TACC
TACC is an advanced driver-assistance feature that automatically adjusts a vehicle’s speed to maintain a safe following distance from traffic ahead.
-
D.
LTAC
LTAC is the ICAO airport code for Esenboğa International Airport, the main airport serving Ankara, Turkey.
-
E.
TALE Conference
TALE Conference is an annual IEEE international conference focused on advancing engineering and technology education across the Asia-Pacific region.
- F. None of above. chosen
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_69ca831b17988190a1f3f3413d57b820 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe53845e881909eeb32863c7aa942 |
completed | March 31, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3a348a8481908a72c7ac15605022 |
completed | April 2, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_69ce3b56c3d881909468c3304e84cdb8 |
completed | April 2, 2026, 9:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce3c2579a08190af15d40d4bf7bb9f |
completed | April 2, 2026, 9:51 a.m. |
Created at: March 30, 2026, 6:12 p.m.