Triple

T4678035
Position Surface form Disambiguated ID Type / Status
Subject Salford Quays E103728 entity
Predicate knownFor P22 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: [Salford Quays, knownFor, MediaCityUK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MediaCityUK
Context triple: [Salford Quays, knownFor, 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_69bd43dda32c8190938b37744ca270fc completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd63698a548190831863adddd32f31 completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03a0d5c88190a9b40e1ca7d165ff completed March 21, 2026, 2:34 a.m.
Created at: March 20, 2026, 1:16 p.m.