Triple

T217632
Position Surface form Disambiguated ID Type / Status
Subject Salford E4141 entity
Predicate knownFor P22 FINISHED
Object Salford Quays E4141 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: Salford Quays | Statement: [Salford, knownFor, Salford Quays]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salford Quays
Context triple: [Salford, knownFor, Salford Quays]
  • A. Salford chosen
    Salford is a city in Greater Manchester, England, known for its industrial heritage and the modern MediaCityUK development on the Salford Quays.
  • B. Ancoats
    Ancoats is a historic inner-city district of Manchester, England, known for its former textile mills and canals and its transformation into a trendy residential and cultural area.
  • C. Western Docklands
    Western Docklands is a waterfront urban area in Amsterdam known for its redeveloped harbor basins, modern residential architecture, and proximity to the IJ Bay.
  • D. Manchester Victoria
    Manchester Victoria is a major railway station in Manchester city centre, serving as a key hub for regional and local train services across northern England.
  • E. Trafford Centre
    The Trafford Centre is a large indoor shopping and leisure complex in Greater Manchester, England, known for its extensive range of retail stores, restaurants, and entertainment facilities.
  • 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_69a2573508588190b522c2476d91acfe completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c5062e48190833be10e4770e1e9 completed Feb. 28, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3a882db708190a60d2adf4b243c2e completed March 1, 2026, 2:46 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.