Triple
T2975939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arsenal F.C. Training Centre |
E80395
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | London Colney |
E80395
|
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: London Colney | Statement: [Arsenal F.C. Training Centre, locatedIn, London Colney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: London Colney Context triple: [Arsenal F.C. Training Centre, locatedIn, London Colney]
-
A.
London Colney
chosen
London Colney is a village in Hertfordshire, England, best known in football for hosting Arsenal F.C.’s main training centre.
-
B.
Colney Heath
Colney Heath is a village and civil parish in the county of Hertfordshire in the East of England.
-
C.
Cuffley
Cuffley is a village in southern England that forms part of the county of Hertfordshire.
-
D.
Cheshunt
Cheshunt is a town in Hertfordshire, England, situated just north of London and known as a commuter hub with rail links into the capital.
-
E.
Whittlesey
Whittlesey is a historic market town and civil parish in the Fenland area of Cambridgeshire, England, known for its traditional Straw Bear Festival and surrounding wetland landscapes.
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad998ad5308190a012ec4940eb46cb |
completed | March 8, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b108e99ea881908cccc6656e8653c3 |
completed | March 11, 2026, 6:17 a.m. |
Created at: March 8, 2026, 2:58 p.m.