Triple

T2328341
Position Surface form Disambiguated ID Type / Status
Subject Ardwick E48341 entity
Predicate borders P224 FINISHED
Object Longsight E184455 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: Longsight | Statement: [Ardwick, borders, Longsight]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Longsight
Context triple: [Ardwick, borders, Longsight]
  • A. Longsight chosen
    Longsight is a residential district in Manchester, England, known for its diverse community, busy market, and proximity to the city centre.
  • B. Cloudesley
    Cloudesley is a lesser-known 1830 novel by William Godwin that explores themes of inheritance, identity, and moral responsibility within a Gothic-influenced narrative.
  • C. Ramsden
    Ramsden is a small rural village in the West Oxfordshire district of England, known for its traditional Cotswold character and surrounding countryside.
  • D. Winston Lights
    Winston Lights is a lighter-tar, lower-nicotine variant of the Winston brand of cigarettes marketed as a milder smoking option.
  • E. Lumen
    Lumen is a telecommunications and technology company brand offering network, edge cloud, security, and communication services to businesses and enterprises.
  • 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_69a88aa308a88190b0b86c011fda7fce completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc665c6548190af90d70475b4519b completed March 7, 2026, 6:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae897243c48190a18b0e02ad664ead completed March 9, 2026, 8:48 a.m.
Created at: March 4, 2026, 7:50 p.m.