Triple
T14613379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London Assembly constituencies |
E343014
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Brent and Harrow |
E116846
|
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: Brent and Harrow | Statement: [London Assembly constituencies, hasPart, Brent and Harrow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brent and Harrow Context triple: [London Assembly constituencies, hasPart, Brent and Harrow]
-
A.
Brent and Harrow
chosen
Brent and Harrow is a London Assembly constituency in northwest London that covers the boroughs of Brent and Harrow and elects a representative to the London Assembly.
-
B.
Harrow
Harrow is a suburban district in northwest London, England, known for its historic town center and the prestigious Harrow School.
-
C.
Harrow
Harrow is the surname of Canadian rapper, record producer, and music executive Kardinal Offishall.
-
D.
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.
-
E.
Mill Hill
Mill Hill is a suburban area in the London Borough of Barnet, known for its residential character, green spaces, and local schools.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb450e6588190a94488d8e71888c8 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda92110e88190af47b713dd24520b |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:25 a.m.