Triple

T2499567
Position Surface form Disambiguated ID Type / Status
Subject Wythenshawe E52431 entity
Predicate partOf P40 FINISHED
Object City of Manchester E114 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: City of Manchester | Statement: [Wythenshawe, partOf, City of Manchester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Manchester
Context triple: [Wythenshawe, partOf, City of Manchester]
  • A. Manchester Met
    Manchester Met is a large public university in Manchester, England, known for its vocationally oriented courses, strong links with industry, and diverse student population.
  • B. Manchester city centre
    Manchester city centre is the main commercial, retail, and cultural hub of Manchester, England, known for its shopping districts, nightlife, and historic architecture.
  • C. Manchester
    Manchester is a historic neighborhood on Pittsburgh’s North Side known for its 19th-century architecture and designation as a historic district.
  • D. Manchester chosen
    Manchester is a major city in northwest England known for its industrial heritage, vibrant cultural scene, and influential contributions to music, sport, and science.
  • E. Manchester
    Manchester is the most populous city in the U.S. state of New Hampshire and a major economic and cultural center for the region.
  • 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_69ab4957b3a88190adf968ae0c1b931c completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1afd86c81909181c4b45d4f8bc5 completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b8bc7708190a507136d1f9f34ca completed March 9, 2026, 8:20 p.m.
Created at: March 6, 2026, 9:46 p.m.