Triple
T10069736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chessington |
E213588
|
entity |
| Predicate | postTown |
P2711
|
FINISHED |
| Object | CHESSINGTON |
E213588
|
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: CHESSINGTON | Statement: [Chessington, postTown, CHESSINGTON]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CHESSINGTON Context triple: [Chessington, postTown, CHESSINGTON]
-
A.
Chessington
chosen
Chessington is a suburban area in the Royal Borough of Kingston upon Thames in southwest London, known for the Chessington World of Adventures Resort theme park and zoo.
-
B.
Chobham
Chobham is a village and civil parish in Surrey, England, known for its rural character, common land, and historic buildings.
-
C.
Chertsey
Chertsey is a historic town in southeast England, known for its medieval abbey heritage and location on the River Thames.
-
D.
Charlton
Charlton is a small town in upstate New York known for its rural character and residential communities.
-
E.
Charlton
Charlton is a district in southeast London known for its historic village center, riverside industrial heritage, and the football club Charlton Athletic.
- 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_69ca839add308190b57d53b4ec21f2d0 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcffa045c8190a08db0bb74cb006a |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29aa05cc881909f59178e9c6c01ef |
completed | April 5, 2026, 5:23 p.m. |
Created at: March 30, 2026, 8:58 p.m.