Triple

T11881909
Position Surface form Disambiguated ID Type / Status
Subject Fallowfield, Manchester E282677 entity
Predicate nearbyArea P2064 FINISHED
Object Burnage E446139 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: Burnage | Statement: [Fallowfield, Manchester, nearbyArea, Burnage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burnage
Context triple: [Fallowfield, Manchester, nearbyArea, Burnage]
  • A. Burnage chosen
    Burnage is a suburban area of Manchester, England, known primarily as a residential district with good transport links into the city.
  • 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. Biddulph
    Biddulph is a small town in Staffordshire, England, known historically for its coal mining and rural surroundings.
  • E. Banwell
    Banwell is a village and civil parish in North Somerset, England, known for its historic caves and medieval architecture.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8d39d2934819093b9f7006f45e5cb completed April 10, 2026, 10:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281e6f8888190bc8495b1261a86df completed April 29, 2026, 10:10 p.m.
Created at: April 8, 2026, 9:44 p.m.