Triple
T2823863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hillingdon |
E54873
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Northwood |
E301829
|
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: Northwood | Statement: [Hillingdon, contains, Northwood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Northwood Context triple: [Hillingdon, contains, Northwood]
-
A.
Northwood
chosen
Northwood is a suburban London Underground station in the London Borough of Hillingdon, providing commuter rail services on the Metropolitan line.
-
B.
Northwood
Northwood is a master-planned residential village in Irvine, California, known for its suburban neighborhoods, parks, and family-oriented community design.
-
C.
Kirkewood
Kirkewood is an alternative spelling of the name Kirkwood, which is used for various places and surnames in English-speaking regions.
-
D.
Northfield
Northfield is a small village and community within the town of Litchfield in northwestern Connecticut, known for its rural character and New England charm.
-
E.
Fairlawn
Fairlawn is a residential neighborhood and community within the city of Pawtucket in Providence County, Rhode Island.
- 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_69ab49e100c0819082a40cb797383243 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde91487881909989c08bbf76f0da |
completed | March 7, 2026, 8:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01d6b1ebc8190ae54d560abb5e612 |
completed | March 10, 2026, 1:32 p.m. |
Created at: March 6, 2026, 9:59 p.m.