Triple
T831766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woking railway station |
E17980
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Woking |
E22253
|
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: Woking | Statement: [Woking railway station, locatedIn, Woking]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woking Context triple: [Woking railway station, locatedIn, Woking]
-
A.
Woking
chosen
Woking is a large commuter town in southeast England known for its rail links to London and its association with H.G. Wells’ "The War of the Worlds."
-
B.
Basildon
Basildon is a large town in Essex, England, known as a post-war new town and a major commercial and residential centre within the East of England.
-
C.
Bromley
Bromley is a large suburban town in southeast London, England, known as a major commercial and retail centre within the London Borough of Bromley.
-
D.
Dartford
Dartford is a historic market and industrial town in southeast England, situated on the River Darent and serving as a key commuter hub for London.
-
E.
Weybridge
Weybridge is a suburban town in southeast England known for its affluent residential areas and proximity to the River Thames and major transport links into 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_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abb4be948190ae757df85bdc40e4 |
completed | March 1, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac427fffe88190b28bd1b660bb90fe |
completed | March 7, 2026, 3:21 p.m. |
Created at: March 1, 2026, 7:38 p.m.