Triple

T11133176
Position Surface form Disambiguated ID Type / Status
Subject Suella Braverman E263339 entity
Predicate constituencyRepresented P192 FINISHED
Object Fareham E124893 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: Fareham | Statement: [Suella Braverman, constituencyRepresented, Fareham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fareham
Context triple: [Suella Braverman, constituencyRepresented, Fareham]
  • A. Fareham chosen
    Fareham is a market town in southern England situated between the cities of Southampton and Portsmouth.
  • B. Havant
    Havant is a market town and borough in south-east England, situated between Portsmouth and Chichester near the south coast.
  • 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. Folkestone
    Folkestone is a coastal town and port in Kent, England, known as a gateway to continental Europe via the Channel Tunnel and nearby ferry links.
  • E. Margate
    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.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8347a248190837e8c26f25f553a completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e496b4cadc8190b82ac12061c31bdc completed April 19, 2026, 8:47 a.m.
Created at: April 8, 2026, 9:28 p.m.