Triple

T686819
Position Surface form Disambiguated ID Type / Status
Subject Eccles Line E13301 entity
Predicate connects P390 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: [Eccles Line, connects, MediaCityUK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MediaCityUK
Context triple: [Eccles Line, connects, 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. Canary Wharf
    Canary Wharf is a major business and financial district in East London known for its cluster of modern skyscrapers and corporate headquarters.
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a093ac988190bb339616a3ed5adb completed March 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6374ee9ac819091abef4167e3433e completed March 3, 2026, 1:20 a.m.
Created at: March 1, 2026, 7:36 p.m.