Triple

T22264181
Position Surface form Disambiguated ID Type / Status
Subject ceremonial county of Kent E550305 entity
Predicate contains P35 FINISHED
Object Tonbridge and Malling 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: Tonbridge and Malling | Statement: [ceremonial county of Kent, contains, Tonbridge and Malling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tonbridge and Malling
Context triple: [ceremonial county of Kent, contains, Tonbridge and Malling]
  • A. Tonbridge and Malling Borough chosen
    Tonbridge and Malling Borough is a local government district in Kent, England, encompassing a mix of historic market towns, suburban communities, and rural countryside.
  • B. Tonbridge
    Tonbridge is a historic market town in Kent, England, known for its medieval castle, riverside setting on the River Medway, and role as a local commercial and commuter hub.
  • C. Harrow
    Harrow is a suburban district in northwest London, England, known for its historic town center and the prestigious Harrow School.
  • D. Harrow
    Harrow is the surname of Canadian rapper, record producer, and music executive Kardinal Offishall.
  • E. Harrow Green
    Harrow Green is a locality in the Leytonstone area of East London, known for its junction and surrounding residential and commercial streets.
  • 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.