Triple
T4795786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenton |
E106707
|
entity |
| Predicate | nearbyArea |
P2064
|
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: [Kenton, nearbyArea, Harrow Weald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harrow Weald Context triple: [Kenton, nearbyArea, 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.
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.
-
C.
Colney Heath
Colney Heath is a village and civil parish in the county of Hertfordshire in the East of England.
-
D.
Goffs Oak
Goffs Oak is a village in the county of Hertfordshire, England, known for its residential character and proximity to both countryside and London commuter routes.
-
E.
Burnt Oak
Burnt Oak is a suburban district in northwest London known for its diverse community, local shopping streets, and residential character.
- 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_69bd43f591c881909e5a532388b0f3f3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6609e9888190b49f99bb9fb2279d |
completed | March 20, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be89cdee488190b810111df56fa1cb |
completed | March 21, 2026, 12:06 p.m. |
Created at: March 20, 2026, 1:22 p.m.