Triple

T10589868
Position Surface form Disambiguated ID Type / Status
Subject Halstead, Kent E249953 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Knockholt E249951 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: Knockholt | Statement: [Halstead, Kent, hasNearbySettlement, Knockholt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Knockholt
Context triple: [Halstead, Kent, hasNearbySettlement, Knockholt]
  • A. Knockholt chosen
    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.
  • B. Paddock Wood
    Paddock Wood is a small town in Kent, England, known for its agricultural history and role as a local transport and commercial hub.
  • C. Tangmere
    Tangmere is a village in West Sussex, England, best known for its historic RAF airfield and aviation museum.
  • D. Tidworth
    Tidworth is a small garrison town in Wiltshire, England, known for its close association with the British Army and surrounding military installations.
  • E. Martlesham Heath
    Martlesham Heath is a village and residential area in Suffolk, England, known for its planned development and historical links to aviation and telecommunications research.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5277a39f08190848f24752cfa4b8f completed April 7, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a1bba1c8190af5a078f40f3bc0a completed April 10, 2026, 10:30 p.m.
Created at: April 6, 2026, 12:40 p.m.