Triple
T16274178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugh d'Avranches |
E395080
|
entity |
| Predicate | territory |
P2160
|
FINISHED |
| Object | County of Chester |
E17454
|
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: County of Chester | Statement: [Hugh d'Avranches, territory, County of Chester]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: County of Chester Context triple: [Hugh d'Avranches, territory, County of Chester]
-
A.
Cheshire
chosen
Cheshire is a ceremonial and historic county in North West England known for its rural landscapes, affluent towns, and production of Cheshire cheese.
-
B.
Cheshire
Cheshire is a small rural town in Berkshire County, Massachusetts, known for its scenic setting in the Berkshire Hills and its historic New England character.
-
C.
Cheshire
Cheshire is a suburban town in New Haven County, Connecticut, known for its residential character, schools, and location along major regional routes.
-
D.
Town of Chester
The Town of Chester is a small Adirondack community in upstate New York known for its lakes, forests, and outdoor recreation.
-
E.
Cheshire County
Cheshire County is a county in southwestern New Hampshire known for its historic towns, rural landscapes, and the city of Keene as its largest community and commercial center.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2460c2d948190813b66e539a64a70 |
completed | April 17, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017c0ef4c8190b44ac84f71b2ed41 |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:05 a.m.