Triple
T5803977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shah Jahan Mosque |
E128695
|
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: [Shah Jahan Mosque, locatedIn, Woking]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woking Context triple: [Shah Jahan Mosque, 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.
Purley
Purley is a suburban town in South London known for its residential character and location within the London Borough of Croydon.
-
C.
Hainault
Hainault is a suburban area in northeast London, England, known for its residential character and proximity to Hainault Forest Country Park.
-
D.
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.
-
E.
Hounslow
Hounslow is a suburban district in West London known for its diverse community, major transport links, and proximity to Heathrow Airport.
- 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_69c00846a0d881909e46841f8e156b64 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b1304588190b59a18fb7b70a60f |
completed | March 22, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c74872582c81908c64a9bf925f67c6 |
completed | March 28, 2026, 3:18 a.m. |
Created at: March 22, 2026, 3:52 p.m.