Triple

T11033621
Position Surface form Disambiguated ID Type / Status
Subject Old Town Margate E260820 entity
Predicate locatedIn 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: [Old Town Margate, locatedIn, Margate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margate
Context triple: [Old Town Margate, locatedIn, 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 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.
  • D. Fareham
    Fareham is a market town in southern England situated between the cities of Southampton and Portsmouth.
  • E. Maidstone
    Maidstone is a large historic town in southeast England that serves as the administrative and commercial center of the county of Kent.
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797e709648190adbb05197e15ff76 completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4968fc4f8819081532098e5543318 completed April 19, 2026, 8:47 a.m.
Created at: April 8, 2026, 9:25 p.m.