Triple
T14000743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A244 road |
E336813
|
entity |
| Predicate | connectsTown |
P845
|
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: [A244 road, connectsTown, Sunbury-on-Thames]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sunbury-on-Thames Context triple: [A244 road, connectsTown, 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 small rural settlement in New Zealand’s Canterbury region, situated within the Ashburton District and known for its agricultural surroundings.
-
D.
Chertsey
Chertsey is a historic town in southeast England, known for its medieval abbey heritage and location on the River Thames.
-
E.
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.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb81b208190a961e49a02fa4140 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef5c11708190a7fd4c0682b6ed81 |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 9, 2026, 10:19 p.m.