Triple
T6679518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hatch End |
E151940
|
entity |
| Predicate | hasNearbyArea |
P4647
|
FINISHED |
| Object | Harrow Weald |
E56899
|
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: Harrow Weald | Statement: [Hatch End, hasNearbyArea, Harrow Weald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harrow Weald Context triple: [Hatch End, hasNearbyArea, Harrow Weald]
-
A.
Harrow
chosen
Harrow is a suburban district in northwest London, England, known for its historic town center and the prestigious Harrow School.
-
B.
Harpur Hill
Harpur Hill is a small village in the High Peak district of Derbyshire, England, known for its elevated position and proximity to the spa town of Buxton.
-
C.
Hertford Heath
Hertford Heath is a village and civil parish in Hertfordshire, England, known for its rural character, common land, and proximity to the town of Hertford.
-
D.
Hinchley Wood
Hinchley Wood is a suburban residential area in Surrey, England, known for its commuter links to London and proximity to green spaces.
-
E.
Colney Heath
Colney Heath is a village and civil parish in the county of Hertfordshire in the East of England.
- 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_69c687f830bc81909eb8b04dbb8450b1 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b0f6813c8190906f619b4276a232 |
completed | March 27, 2026, 4:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70af0c0e4819094c89193a222a6c9 |
completed | March 27, 2026, 10:55 p.m. |
Created at: March 27, 2026, 2:03 p.m.