Triple

T21000877
Position Surface form Disambiguated ID Type / Status
Subject Portsmouth Direct Line E517281 entity
Predicate passesThrough P225 FINISHED
Object Havant 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: Havant | Statement: [Portsmouth Direct Line, passesThrough, Havant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Havant
Context triple: [Portsmouth Direct Line, passesThrough, Havant]
  • A. Havant chosen
    Havant is a market town and borough in south-east England, situated between Portsmouth and Chichester near the south coast.
  • B. Fareham
    Fareham is a market town in southern England situated between the cities of Southampton and Portsmouth.
  • C. Fordingbridge
    Fordingbridge is a small historic town on the River Avon in Hampshire, England, known for its medieval stone bridge and proximity to the New Forest.
  • D. Basingstoke
    Basingstoke is a large town in Hampshire, England, known as a major commercial and retail centre with significant modern development and transport links.
  • E. Waterlooville
    Waterlooville is a town in Hampshire, England, situated north of Portsmouth and known primarily as a residential and commuter area.
  • 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc24a6dc8190a6bf81cf1d9590c0 completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:52 p.m.