Triple

T17054547
Position Surface form Disambiguated ID Type / Status
Subject County of Kent E413784 entity
Predicate hasMajorTown P316 FINISHED
Object Tonbridge E32633 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: Tonbridge | Statement: [County of Kent, hasMajorTown, Tonbridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tonbridge
Context triple: [County of Kent, hasMajorTown, Tonbridge]
  • A. Tonbridge chosen
    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.
  • B. Harrow
    Harrow is a suburban district in northwest London, England, known for its historic town center and the prestigious Harrow School.
  • C. Harrow
    Harrow is the surname of Canadian rapper, record producer, and music executive Kardinal Offishall.
  • D. Brockenhurst
    Brockenhurst is a village in Hampshire, England, situated in the New Forest and served by a major railway station on the South West Main Line.
  • E. Totton
    Totton is a town in Hampshire, England, situated near the River Test on the outskirts of the New Forest and close to the city of Southampton.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3daa54c808190a6e8333c413f4e26 completed April 18, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012346bcfc819093cd922baa94e186 completed May 11, 2026, 12:31 a.m.
Created at: April 10, 2026, 5:34 a.m.