Triple
T24132909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cockfosters tube station |
E598002
|
entity |
| Predicate | nearLocalAuthorityBoundary |
P55118
|
FINISHED |
| Object | London Borough of Barnet |
—
|
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: London Borough of Barnet | Statement: [Cockfosters tube station, nearLocalAuthorityBoundary, London Borough of Barnet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearLocalAuthorityBoundary Context triple: [Cockfosters tube station, nearLocalAuthorityBoundary, London Borough of Barnet]
-
A.
borderingLocalGovernmentArea
Indicates that one local government area shares a common boundary with another local government area.
-
B.
nearInternationalBoundary
Indicates that one entity is located close to an international boundary separating two or more countries.
-
C.
containsLocalAuthorityArea
Indicates that one entity geographically encompasses or includes the entire area governed by a specific local authority.
-
D.
nearBorderBetween
chosen
Indicates that something is located close to the dividing line or boundary shared between two adjacent areas or regions.
-
E.
nearStateBorderWith
Indicates that one entity is located close to the state border shared with another specified state or region.
- F. None of above.
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_69e288c808b881909fed7d18f04bcbbe |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1df79bfd08190970ed1b3f14ebc8b |
completed | April 29, 2026, 10:37 a.m. |
| PD | Predicate disambiguation | batch_69f1765650fc8190a6bc1eb512b240bf |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 11:25 p.m.