Triple
T3471873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berkhamsted |
E73278
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Chesham |
E232556
|
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: Chesham | Statement: [Berkhamsted, nearbySettlement, Chesham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chesham Context triple: [Berkhamsted, nearbySettlement, Chesham]
-
A.
Chesham
chosen
Chesham is a market town in the Chiltern Hills of Buckinghamshire, England, known historically for its boot, brush, and woodenware industries.
-
B.
Chelsham
Chelsham is a small rural village in Surrey, England, known for its countryside setting and traditional character.
-
C.
Datchet
Datchet is a riverside village and civil parish in Berkshire, England, situated on the River Thames near Windsor.
-
D.
Chertsey
Chertsey is a historic town in southeast England, known for its medieval abbey heritage and location on the River Thames.
-
E.
Bracknell
Bracknell is a town in the English county of Berkshire, known as a post-war New Town and commercial centre in the Thames Valley.
- 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_69ad85b2fed48190948c8765e453d270 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb3cc8488190b97c732e3f600a90 |
completed | March 8, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba392ad08190a66ccf58edecb722 |
completed | March 21, 2026, 3:33 p.m. |
Created at: March 8, 2026, 3:17 p.m.