Triple

T22083846
Position Surface form Disambiguated ID Type / Status
Subject Brenchley and Matfield Parish Council E545720 entity
Predicate locatedIn P40 FINISHED
Object Brenchley 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: Brenchley | Statement: [Brenchley and Matfield Parish Council, locatedIn, Brenchley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brenchley
Context triple: [Brenchley and Matfield Parish Council, locatedIn, Brenchley]
  • A. Brenchley chosen
    Brenchley is a rural village in Kent, England, known for its historic buildings and picturesque countryside setting.
  • B. Bletchingley
    Bletchingley is a historic village in Surrey, England, known for its medieval origins and picturesque rural setting.
  • C. Frensham
    Frensham is a rural village in Surrey, England, known for its scenic commons, ponds, and surrounding countryside.
  • D. Bolney
    Bolney is a rural village in West Sussex, England, known for its countryside setting and local vineyards.
  • E. Speldhurst
    Speldhurst is a rural village and civil parish in Kent, England, known for its historic church, traditional pubs, and scenic countryside near Royal Tunbridge Wells.
  • 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_69e11e3523488190badd54b5d580c00d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128b803f081909a0a121aecf526ae completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:28 p.m.