Triple

T15129669
Position Surface form Disambiguated ID Type / Status
Subject Cliftonville (part) E361383 entity
Predicate partOf P40 FINISHED
Object Margate E46362 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: Margate | Statement: [Cliftonville (part), partOf, Margate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margate
Context triple: [Cliftonville (part), partOf, Margate]
  • A. Margate chosen
    Margate is a historic seaside resort town on the north coast of Kent in southeast England, known for its sandy beaches, amusement attractions, and vibrant arts scene.
  • B. Margate
    Margate is a popular seaside resort town on South Africa’s KwaZulu-Natal coast, known for its beaches and holiday tourism.
  • C. Margate
    Margate is a coastal suburb in Queensland, Australia, known for its beaches and seaside residential community within the Moreton Bay Region.
  • D. Margate City
    Margate City is a small coastal resort community on Absecon Island in Atlantic County, New Jersey, known for its beaches and the historic Lucy the Elephant attraction.
  • E. Fareham
    Fareham is a market town in southern England situated between the cities of Southampton and Portsmouth.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005aff2648190bda885c09421758d completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7fa449c8190aed8941168b063c3 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:06 a.m.