Triple

T7849989
Position Surface form Disambiguated ID Type / Status
Subject Andover E182020 entity
Predicate near P350 FINISHED
Object Tidworth E498926 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: Tidworth | Statement: [Andover, near, Tidworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tidworth
Context triple: [Andover, near, Tidworth]
  • A. Tidworth chosen
    Tidworth is a small garrison town in Wiltshire, England, known for its close association with the British Army and surrounding military installations.
  • B. Tidworth Camp
    Tidworth Camp is a major British Army military base on the Hampshire–Wiltshire border in England, housing armoured and other combat units.
  • C. Knockholt
    Knockholt is a rural village in the London Borough of Bromley, England, known for its countryside setting on the edge of Greater London and Kent.
  • D. Bovingdon
    Bovingdon is a large village and civil parish in Hertfordshire, England, known for its historic airfield and proximity to the town of Hemel Hempstead.
  • E. Honington
    Honington is a small rural village and civil parish in Suffolk, England, known for its agricultural surroundings and proximity to RAF Honington.
  • 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18e989ac819090e459b77d8932d3 completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b0515c08190b866a39749d54849 completed March 31, 2026, 5:26 a.m.
Created at: March 30, 2026, 4:50 p.m.