Triple

T8726276
Position Surface form Disambiguated ID Type / Status
Subject Chatham Main Line E207138 entity
Predicate passesThrough P225 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: [Chatham Main Line, passesThrough, Margate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margate
Context triple: [Chatham Main Line, passesThrough, 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_69ca835811d8819081ea00fd2a2c9a1c completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d158b0481908249610458f97306 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1b953448190bac2c222fcc722bb completed April 3, 2026, 1:33 p.m.
Created at: March 30, 2026, 6:36 p.m.