Triple

T1861955
Position Surface form Disambiguated ID Type / Status
Subject Ancoats E34833 entity
Predicate adjacentTo P224 FINISHED
Object Beswick E99814 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: Beswick | Statement: [Ancoats, adjacentTo, Beswick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beswick
Context triple: [Ancoats, adjacentTo, Beswick]
  • A. Beswick chosen
    Beswick is an inner-city district of Manchester, England, known for its industrial heritage and ongoing urban regeneration.
  • B. Bakewell
    Bakewell is a historic market town in Derbyshire, England, famed for its traditional Bakewell pudding and its picturesque setting in the Peak District.
  • C. Highworth
    Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
  • D. Buckland
    Buckland is a small historic community located within the Bull Run Mountains region of northern Virginia.
  • E. Buckland
    Buckland is a small Inupiat community and city in northwestern Alaska situated along the Buckland River.
  • 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_69a88600b2f88190bc09303e68ab517e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb09e714881909cef0f7e77b5b3b9 completed March 7, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1d026748190a507872de85c908d completed March 8, 2026, 7:45 p.m.
Created at: March 4, 2026, 7:34 p.m.