Triple
T9642004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bovingdon |
E233094
|
entity |
| Predicate | near |
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: [Bovingdon, near, Chesham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chesham Context triple: [Bovingdon, near, 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.
Wexham
Wexham is a village and civil parish in Buckinghamshire, England, situated near Black Park Country Park and on the outskirts of Slough.
-
E.
Chertsey
Chertsey is a historic town in southeast England, known for its medieval abbey heritage and location on the River Thames.
- 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_69ca848a5a908190aad251f4137b0c3a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b566a2881909ab3f9502b1c3c8d |
completed | April 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d99859b5cc81908475fde408802607 |
completed | April 11, 2026, 12:39 a.m. |
Created at: March 30, 2026, 8:12 p.m.