Triple
T941441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midlands |
E20314
|
entity |
| Predicate | historicTown |
P1098
|
FINISHED |
| Object | Chesterfield |
E73869
|
NE FINISHED |
How this triple was built (2 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: Chesterfield | Statement: [Midlands, historicTown, Chesterfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chesterfield Context triple: [Midlands, historicTown, Chesterfield]
-
A.
Chesterfield
chosen
Chesterfield is a historic market town in Derbyshire, England, best known for its distinctive crooked church spire and its role in the region’s industrial development.
-
B.
Marlborough
Marlborough is a renowned wine-producing region in New Zealand, celebrated especially for its high-quality cool-climate varietals.
-
C.
Chester
Chester is the given name of Chester W. Nimitz, the prominent U.S. Navy fleet admiral who played a leading role in the Pacific theater during World War II.
-
D.
Chester
Chester is a small, historically industrial city in southeastern Pennsylvania that lies just southwest of Philadelphia along the Delaware River.
-
E.
Cheshire
Cheshire is a ceremonial and historic county in North West England known for its rural landscapes, affluent towns, and production of Cheshire cheese.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ac119a80e08190b0179f8d413e06fd |
completed | March 7, 2026, 11:52 a.m. |
Created at: March 1, 2026, 7:40 p.m.