Triple
T5852753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A316 road |
E130074
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Sunbury-on-Thames |
E29808
|
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: Sunbury-on-Thames | Statement: [A316 road, near, Sunbury-on-Thames]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sunbury-on-Thames Context triple: [A316 road, near, Sunbury-on-Thames]
-
A.
Sunbury-on-Thames
chosen
Sunbury-on-Thames is a suburban town on the River Thames in south-east England, historically part of Middlesex and now within the borough of Spelthorne.
-
B.
Walton-on-Thames
Walton-on-Thames is a suburban town on the River Thames in southeast England, known for its commuter links to London and riverside amenities.
-
C.
Chertsey
Chertsey is a historic town in southeast England, known for its medieval abbey heritage and location on the River Thames.
-
D.
Staines-upon-Thames
Staines-upon-Thames is a riverside town in southeast England situated on the River Thames, known historically as a crossing point into London and now as a commuter and commercial center.
-
E.
Esher
Esher is a suburban town in the borough of Elmbridge in Surrey, England, known for its affluent residential character and proximity to London.
- 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_69c0084de39081909eb34e6bed74215a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0355038008190bf38980349b533e2 |
completed | March 22, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e4e76cf881909e45c3652a372a70 |
completed | March 28, 2026, 2:25 p.m. |
Created at: March 22, 2026, 3:55 p.m.