Triple

T8910012
Position Surface form Disambiguated ID Type / Status
Subject mainland Kent E212157 entity
Predicate hasMajorTown P316 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: [mainland Kent, hasMajorTown, Margate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margate
Context triple: [mainland Kent, hasMajorTown, 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 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.
  • C. Fareham
    Fareham is a market town in southern England situated between the cities of Southampton and Portsmouth.
  • D. Maidstone
    Maidstone is a large historic town in southeast England that serves as the administrative and commercial center of the county of Kent.
  • E. Ramsgate
    Ramsgate is a seaside town and port on the Isle of Thanet in Kent, England, known historically as a popular resort and maritime hub.
  • 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_69ca839255248190b43984294abd92ae completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc65227d008190b13ba162d0b3c9d1 completed April 1, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffd8495488190a1d93f9e5b7e334d completed April 3, 2026, 5:48 p.m.
Created at: March 30, 2026, 6:55 p.m.