Triple

T540937
Position Surface form Disambiguated ID Type / Status
Subject Trafford E12625 entity
Predicate contains P35 FINISHED
Object Trafford Centre E15758 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: Trafford Centre | Statement: [Trafford, contains, Trafford Centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trafford Centre
Context triple: [Trafford, contains, Trafford Centre]
  • A. Trafford Centre chosen
    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.
  • B. Merseyway Shopping Centre
    Merseyway Shopping Centre is a major retail complex in the heart of Stockport, England, featuring a range of high-street shops and services.
  • C. Manchester Central
    Manchester Central is a major exhibition and conference venue in Manchester, England, housed in a former railway station and used for large-scale events, trade shows, and conventions.
  • D. Manchester Arndale
    Manchester Arndale is a large indoor shopping centre and retail hub located in the heart of Manchester, England.
  • E. Deansgate
    Deansgate is one of the main historic thoroughfares in central Manchester, England, known for its shops, offices, nightlife, and proximity to key city landmarks.
  • 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_69a49334226c81908b0ea1689ef6aa3f completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4985feee481908184a39210feab95 completed March 1, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4c671eaac8190a4bc731a02a5b0e8 completed March 1, 2026, 11:06 p.m.
Created at: March 1, 2026, 7:32 p.m.