Triple

T1557430
Position Surface form Disambiguated ID Type / Status
Subject Ordsall E33238 entity
Predicate near P350 FINISHED
Object MediaCityUK E27853 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: MediaCityUK | Statement: [Ordsall, near, MediaCityUK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MediaCityUK
Context triple: [Ordsall, near, MediaCityUK]
  • A. MediaCityUK chosen
    MediaCityUK is a major media and digital hub in Greater Manchester that hosts leading broadcasters, production companies, and creative industries.
  • B. Corridor Manchester innovation district
    Corridor Manchester innovation district is a major innovation and knowledge hub in Manchester, centered around universities, research institutions, and tech businesses along and around Oxford Road.
  • C. Silicon Fen
    Silicon Fen is the high-tech business and research cluster around Cambridge, England, known for its concentration of technology, software, and biotech companies.
  • D. Manchester International Convention Centre
    Manchester International Convention Centre is the former name of Manchester Central Convention Complex, a major conference and events venue located in Manchester, England.
  • E. London Docklands
    London Docklands is a redeveloped former port and industrial area in east and southeast London, now known for its modern financial district, high-rise offices, and waterfront residential complexes.
  • 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_69a885ef9cf48190b0af0f5ce3d02231 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9088355048190adad5ea2bb558d13 completed March 5, 2026, 4:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad3710688c8190a280f03bced5601f completed March 8, 2026, 8:45 a.m.
Created at: March 4, 2026, 7:27 p.m.