Triple
T5832264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hounslow |
E129377
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Whitton |
E238276
|
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: Whitton | Statement: [Hounslow, adjacentTo, Whitton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whitton Context triple: [Hounslow, adjacentTo, Whitton]
-
A.
Whitton
chosen
Whitton is a suburban residential area in southwest London, known for its local high street, green spaces, and commuter links into central London.
-
B.
Whitton
Whitton is a village and civil parish located in the county of Suffolk in eastern England.
-
C.
Whitton
Whitton is a small rural town in the Riverina region of New South Wales, Australia, known historically for its role in agriculture and rail transport.
-
D.
Norbiton
Norbiton is a suburban area in southwest London, England, situated within the Royal Borough of Kingston upon Thames.
-
E.
Northbourne
Northbourne is a small village and civil parish in Kent, England, known for its rural character and historic church.
- 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_69c0084af79c81908af128ccc29983d0 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0346c331c8190bac050d425961485 |
completed | March 22, 2026, 6:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a19010008190af5600a035246c1a |
completed | March 23, 2026, 2:12 a.m. |
Created at: March 22, 2026, 3:54 p.m.