Triple

T3089570
Position Surface form Disambiguated ID Type / Status
Subject Suffolk E64456 entity
Predicate containsSettlement P847 FINISHED
Object Martlesham Heath E299701 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: Martlesham Heath | Statement: [Suffolk, containsSettlement, Martlesham Heath]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martlesham Heath
Context triple: [Suffolk, containsSettlement, Martlesham Heath]
  • A. Martlesham Heath chosen
    Martlesham Heath is a village and residential area in Suffolk, England, known for its planned development and historical links to aviation and telecommunications research.
  • B. Bagshot Heath
    Bagshot Heath is an extensive area of heathland in Surrey, England, known for its open, sandy terrain, wildlife habitats, and use for military training and outdoor recreation.
  • C. Haslingfield
    Haslingfield is a rural village and civil parish in the district of South Cambridgeshire in eastern England, known for its historic church and agricultural surroundings.
  • D. 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.
  • E. 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.
  • 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_69ad857c97d88190b26f9b1c90839c77 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada20d8f788190b05b8b6b5042bc1a completed March 8, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f8a4c1f08190a80efd190e4ed07f completed March 11, 2026, 11:20 p.m.
Created at: March 8, 2026, 3:03 p.m.