Triple
T941439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midlands |
E20314
|
entity |
| Predicate | historicTown |
P1098
|
FINISHED |
| Object |
Warwick
Warwick is a historic market town in the English Midlands, renowned for its medieval architecture and the prominent Warwick Castle.
|
E146701
|
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: Warwick | Statement: [Midlands, historicTown, Warwick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warwick Context triple: [Midlands, historicTown, Warwick]
-
A.
Warwick
Warwick is a historic coastal city in Rhode Island known for its role in early American colonial history and as a major suburb of Providence.
-
B.
Coventry
Coventry is a historic city in England, best known for its medieval cathedral destroyed in World War II and its symbolic postwar reconciliation efforts.
-
C.
Hereford
Hereford is a cathedral city in Herefordshire, England, known for its historic architecture and role as a military and agricultural center.
-
D.
Northampton
Northampton is a historic market town and the county town of Northamptonshire in the East Midlands of England.
-
E.
Northampton
Northampton is a small, culturally vibrant city in western Massachusetts known for its progressive community, arts scene, and historic New England character.
- 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: Warwick Triple: [Midlands, historicTown, Warwick]
Generated description
Warwick is a historic market town in the English Midlands, renowned for its medieval architecture and the prominent Warwick Castle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Warwick Target entity description: Warwick is a historic market town in the English Midlands, renowned for its medieval architecture and the prominent Warwick Castle.
-
A.
Warwick
Warwick is a historic coastal city in Rhode Island known for its role in early American colonial history and as a major suburb of Providence.
-
B.
Coventry
Coventry is a historic city in England, best known for its medieval cathedral destroyed in World War II and its symbolic postwar reconciliation efforts.
-
C.
Hereford
Hereford is a cathedral city in Herefordshire, England, known for its historic architecture and role as a military and agricultural center.
-
D.
Northampton
Northampton is a historic market town and the county town of Northamptonshire in the East Midlands of England.
-
E.
Northampton
Northampton is a small, culturally vibrant city in western Massachusetts known for its progressive community, arts scene, and historic New England character.
- 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_69a493b0270c81909e6c9ce310f6aa55 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b38cc6888190b1d9043ec8fbcbc3 |
completed | March 1, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aca2d3cb588190882a480c18147384 |
completed | March 7, 2026, 10:12 p.m. |
| NEDg | Description generation | batch_69aca556501c8190abd8ae1cd679919a |
completed | March 7, 2026, 10:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aca7753da0819098e50ae51e967eb5 |
completed | March 7, 2026, 10:32 p.m. |
Created at: March 1, 2026, 7:40 p.m.