Triple

T8031475
Position Surface form Disambiguated ID Type / Status
Subject South Manchester E186990 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Moss Side E63450 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: Moss Side | Statement: [South Manchester, hasNeighbourhood, Moss Side]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moss Side
Context triple: [South Manchester, hasNeighbourhood, Moss Side]
  • A. Moss Side chosen
    Moss Side is an inner-city district of Manchester, England, known for its diverse community, rich cultural history, and significant role in the city’s social and musical life.
  • B. Wythenshawe
    Wythenshawe is a large suburban area in south Manchester, England, known for its extensive housing estates, green spaces, and proximity to Manchester Airport.
  • C. Ordsall
    Ordsall is an inner-city district of Salford in Greater Manchester, England, known for its historic Ordsall Hall and proximity to Manchester city centre.
  • D. Levenshulme
    Levenshulme is a residential suburb in south Manchester, England, known for its diverse community and vibrant local markets.
  • E. Rusholme
    Rusholme is a residential and commercial district in south Manchester, England, best known for its vibrant "Curry Mile" of South Asian and Middle Eastern restaurants and shops.
  • 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3eef921081908d0ea21f142c175a completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd340abffc8190bbc17aa9b775a9cb completed April 1, 2026, 3:04 p.m.
Created at: March 30, 2026, 5:22 p.m.