Triple

T13759682
Position Surface form Disambiguated ID Type / Status
Subject Sandy E330569 entity
Predicate hasNeighbouringSettlement P4647 FINISHED
Object Blunham E686927 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: Blunham | Statement: [Sandy, hasNeighbouringSettlement, Blunham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blunham
Context triple: [Sandy, hasNeighbouringSettlement, Blunham]
  • A. Blunham chosen
    Blunham is a village in Bedfordshire, England, known for its rural setting near the River Ivel and historic parish church.
  • B. Laleham
    Laleham is a riverside village in Surrey, England, situated on the River Thames and known for its historic church, green spaces, and residential character.
  • C. Hellingly
    Hellingly is a village and civil parish in East Sussex, England, known for its rural character and historic parish church.
  • D. Thakeham
    Thakeham is a rural village and civil parish in West Sussex, England, known for its historic buildings and countryside setting within the Horsham District.
  • E. Ketteringham
    Ketteringham is a small village and civil parish in Norfolk, England, known for its rural character and historic parish church.
  • 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0223ab9081909db05334860405e0 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a85dfa6881908da90886db4aa1bb completed May 3, 2026, 7:56 p.m.
Created at: April 9, 2026, 10:09 p.m.