Triple
T19387852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hayes |
E484980
|
entity |
| Predicate | isDerivedFromToponym |
P9174
|
FINISHED |
| Object | Hayes, Middlesex |
—
|
NE NERFINISHED |
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: Hayes, Middlesex | Statement: [Hayes, isDerivedFromToponym, Hayes, Middlesex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hayes, Middlesex Context triple: [Hayes, isDerivedFromToponym, Hayes, Middlesex]
-
A.
Hayes, Middlesex
chosen
Hayes, Middlesex is a suburban town in the London Borough of Hillingdon, historically part of Middlesex, known for its industrial heritage and proximity to Heathrow Airport.
-
B.
Hayes, Bromley
Hayes, Bromley is a suburban district in the London Borough of Bromley, England, known for its residential character and commuter links into central London.
-
C.
Hayes, Kent, England
Hayes, Kent, England is a suburban village in the London Borough of Bromley historically part of Kent, known for its association with statesman William Pitt the Elder and its leafy residential character.
-
D.
Mill Hill
Mill Hill is a suburban area in the London Borough of Barnet, known for its residential character, green spaces, and local schools.
-
E.
Uxbridge
Uxbridge is a township in Ontario, Canada, known for its rural landscapes, trail networks, and proximity to protected natural areas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b418f148190972b7b46038bc744 |
completed | April 20, 2026, 12:25 p.m. |
Created at: April 10, 2026, 1:36 p.m.