Triple

T22264193
Position Surface form Disambiguated ID Type / Status
Subject ceremonial county of Kent E550305 entity
Predicate contains P35 FINISHED
Object Margate 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: Margate | Statement: [ceremonial county of Kent, contains, Margate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margate
Context triple: [ceremonial county of Kent, contains, Margate]
  • A. Margate
    Margate is a coastal suburb in Queensland, Australia, known for its beaches and seaside residential community within the Moreton Bay Region.
  • B. 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.
  • C. Margate
    Margate is a popular seaside resort town on South Africa’s KwaZulu-Natal coast, known for its beaches and holiday tourism.
  • 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 (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_69e11e42adb8819087714772ea606709 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f141ba5c9481909e24067133918ae2 completed April 28, 2026, 11:24 p.m.
Created at: April 16, 2026, 8:39 p.m.