Triple

T10568468
Position Surface form Disambiguated ID Type / Status
Subject Girton E249413 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Histon E203259 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: Histon | Statement: [Girton, hasNearbySettlement, Histon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Histon
Context triple: [Girton, hasNearbySettlement, Histon]
  • A. Histon chosen
    Histon is a large village and civil parish in Cambridgeshire, England, situated just north of Cambridge and known for its residential community and local amenities.
  • B. Hamstead
    Hamstead is a suburban residential area in the West Midlands, England, situated between Birmingham and Sandwell.
  • C. Amersham
    Amersham is a historic market town in southeast England known for its picturesque old town, Chilterns countryside setting, and role as a commuter hub into London.
  • D. Hanham
    Hanham is a suburban village and residential area on the eastern edge of Bristol in South West England.
  • E. Harpenden
    Harpenden is a commuter town in southern England known for its green spaces and affluent residential character.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5272ff53c8190ae7c399d49b585f5 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b4c26ec8190910efdf4a236d654 completed April 10, 2026, 7:11 p.m.
Created at: April 6, 2026, 12:37 p.m.