Triple
T22664710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clayton, West Sussex |
E559753
|
entity |
| Predicate | hasNearbyCity |
P350
|
FINISHED |
| Object | Brighton and Hove |
—
|
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: Brighton and Hove | Statement: [Clayton, West Sussex, hasNearbyCity, Brighton and Hove]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brighton and Hove Context triple: [Clayton, West Sussex, hasNearbyCity, Brighton and Hove]
-
A.
Brighton and Hove
chosen
Brighton and Hove is a coastal city in East Sussex, England, known for its vibrant cultural scene, seaside tourism, and iconic Brighton Pier.
-
B.
Brighton
Brighton is a major seaside city on England’s south coast, renowned for its beach, pier, and vibrant cultural and nightlife scenes.
-
C.
Brighton
Brighton is a coastal suburb of Adelaide in South Australia, known for its beach, jetty, and relaxed seaside atmosphere.
-
D.
Brighton
Brighton is a residential neighborhood in the western part of Boston, Massachusetts, known for its mix of students, young professionals, and long-time residents.
-
E.
Brighton
Brighton is a small mountain resort town in Utah known for its ski area, alpine scenery, and outdoor recreation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1781b3dbc8190a312843cf8c1bfc6 |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 17, 2026, 3:08 p.m.