Triple

T3849629
Position Surface form Disambiguated ID Type / Status
Subject MediaCityUK tram stop E85257 entity
Predicate serves P98 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: [MediaCityUK tram stop, serves, MediaCityUK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MediaCityUK
Context triple: [MediaCityUK tram stop, serves, 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 Roundabout
    Silicon Roundabout is London’s tech hub around Old Street, known for its dense cluster of startups and technology companies.
  • D. Manchester Science Park
    Manchester Science Park is a major technology and innovation campus in Manchester that hosts science, digital, and tech companies within the city’s wider innovation ecosystem.
  • E. HafenCity development area
    The HafenCity development area is a major urban regeneration project in Hamburg, Germany, transforming former port and industrial land into a modern mixed-use waterfront district.
  • 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_69aed936de1c81908f91bed80f70abb2 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeebcde86081908cf3840ae002acfa completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b504172d58819089d19f5cb7b803ec completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:19 p.m.