Triple
T11622619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hornsey |
E276174
|
entity |
| Predicate | hasConstituency |
P1971
|
FINISHED |
| Object | Hornsey and Wood Green |
E485206
|
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: Hornsey and Wood Green | Statement: [Hornsey, hasConstituency, Hornsey and Wood Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hornsey and Wood Green Context triple: [Hornsey, hasConstituency, Hornsey and Wood Green]
-
A.
Hornsey
Hornsey is a district in the London Borough of Haringey, England, known historically as a suburban area that developed rapidly in the 19th and 20th centuries.
-
B.
Harlesden
Harlesden is a residential district in northwest London known for its diverse community and strong Caribbean and Brazilian cultural influences.
-
C.
Hampstead and Kilburn
Hampstead and Kilburn is a UK parliamentary constituency in northwest London, covering affluent and diverse residential areas within and around the London Borough of Camden.
-
D.
Wood Green
chosen
Wood Green is a busy urban district and major shopping and transport hub in the London Borough of Haringey in north London.
-
E.
Highbury & Islington
Highbury & Islington is a major London transport hub in Islington served by London Underground, London Overground, and National Rail services.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a122a3708190ab6513dad4c4fde7 |
completed | April 10, 2026, 7:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65e92f1808190a338d8406d651611 |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 8, 2026, 9:39 p.m.