Triple

T5756025
Position Surface form Disambiguated ID Type / Status
Subject Matfield E126968 entity
Predicate hasPostTown P2711 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: [Matfield, hasPostTown, Tonbridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tonbridge
Context triple: [Matfield, hasPostTown, 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. 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.
  • D. 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.
  • E. Northbourne
    Northbourne is a small village and civil parish in Kent, England, known for its rural character and historic church.
  • 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_69c00832aedc81909899801b141fa3b4 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02906848c8190bf7b0d62f57c27fa completed March 22, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c097ffbf848190ba20a72c676d2c8e completed March 23, 2026, 1:31 a.m.
Created at: March 22, 2026, 3:49 p.m.