Triple

T22722519
Position Surface form Disambiguated ID Type / Status
Subject Lucan Biddulph E561898 entity
Predicate hasSettlement P1068 FINISHED
Object Biddulph 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: Biddulph | Statement: [Lucan Biddulph, hasSettlement, Biddulph]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biddulph
Context triple: [Lucan Biddulph, hasSettlement, Biddulph]
  • A. Biddulph chosen
    Biddulph is a small town in Staffordshire, England, known historically for its coal mining and rural surroundings.
  • B. Torresdale
    Torresdale is a residential neighborhood in the far northeastern section of Philadelphia, Pennsylvania, known for its proximity to the Delaware River and suburban character.
  • C. Bauple
    Bauple is a small rural town in Queensland, Australia, known as the birthplace of the macadamia nut and situated within the Fraser Coast Region.
  • D. Buxton
    Buxton is an English surname historically associated with several notable figures in British public life, politics, and philanthropy.
  • E. Buxton
    Buxton is a village in Norfolk, England, known for its rural setting and historic association with the River Bure.
  • 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_69e2454fc984819088213b58ee87a002 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17926ae0c8190af8493cab6b15261 completed April 29, 2026, 3:21 a.m.
Created at: April 17, 2026, 3:20 p.m.