Triple
T8062832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liberec |
E188165
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object |
Nisa
Nisa is a town that is twinned with Liberec, forming part of an international municipal partnership.
|
E709437
|
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: Nisa | Statement: [Liberec, twinTown, Nisa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nisa Context triple: [Liberec, twinTown, Nisa]
-
A.
Nisa
Nisa was an ancient city that served as an early royal center of the Parthian Empire, located near present-day Ashgabat in Turkmenistan.
-
B.
An Nisa
An Nisa is the fourth chapter of the Quran, known for its detailed guidance on social justice, family law, and the rights and responsibilities of women and orphans in Islamic society.
-
C.
The Twa Herds
"The Twa Herds" is a satirical poem by Robert Burns that mocks religious hypocrisy and clerical disputes in 18th-century Scotland.
-
D.
Naven
Naven is an anthropological study by Gregory Bateson that analyzes the ritual practices and social structure of the Iatmul people of New Guinea.
-
E.
Wondunna
Wondunna is a residential suburb located within the coastal city of Hervey Bay in Queensland, Australia.
- 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: Nisa Triple: [Liberec, twinTown, Nisa]
Generated description
Nisa is a town that is twinned with Liberec, forming part of an international municipal partnership.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nisa Target entity description: Nisa is a town that is twinned with Liberec, forming part of an international municipal partnership.
-
A.
Nisa
Nisa was an ancient city that served as an early royal center of the Parthian Empire, located near present-day Ashgabat in Turkmenistan.
-
B.
An Nisa
An Nisa is the fourth chapter of the Quran, known for its detailed guidance on social justice, family law, and the rights and responsibilities of women and orphans in Islamic society.
-
C.
The Twa Herds
"The Twa Herds" is a satirical poem by Robert Burns that mocks religious hypocrisy and clerical disputes in 18th-century Scotland.
-
D.
Naven
Naven is an anthropological study by Gregory Bateson that analyzes the ritual practices and social structure of the Iatmul people of New Guinea.
-
E.
Wondunna
Wondunna is a residential suburb located within the coastal city of Hervey Bay in Queensland, Australia.
- 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_69ca82b2f68881908c50560697e210da |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3fce95f08190b803956a20082e95 |
completed | March 31, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63da3bd08190894b2f4c977167c0 |
completed | April 1, 2026, 12:16 a.m. |
| NEDg | Description generation | batch_69cc651c5f788190908c6d84c58cba0f |
completed | April 1, 2026, 12:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc6649d2348190996802140b455348 |
completed | April 1, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:26 p.m.