Triple
T12573787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | County of Middlesex |
E258941
|
entity |
| Predicate | containedSettlement |
P16159
|
FINISHED |
| Object | Staines |
E26080
|
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: Staines | Statement: [County of Middlesex, containedSettlement, Staines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Staines Context triple: [County of Middlesex, containedSettlement, Staines]
-
A.
Staines-upon-Thames
chosen
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.
-
B.
Staines Bridge
Staines Bridge is a historic road bridge over the River Thames in Surrey, England, carrying traffic between Staines-upon-Thames and Egham.
-
C.
Chertsey
Chertsey is a historic town in southeast England, known for its medieval abbey heritage and location on the River Thames.
-
D.
Chertsey
Chertsey is a small rural settlement in New Zealand’s Canterbury region, situated within the Ashburton District and known for its agricultural surroundings.
-
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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954a52c788190beac128a97e34dc1 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8a9a12008190a86d8e11bf86d536 |
completed | May 8, 2026, 7:02 a.m. |
Created at: April 9, 2026, 4:42 p.m.