Triple

T2915738
Position Surface form Disambiguated ID Type / Status
Subject Temple Quay E78601 entity
Predicate hasOfficeBuildings P39751 FINISHED
Object Temple Quay Central E78601 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: Temple Quay Central | Statement: [Temple Quay, hasOfficeBuildings, Temple Quay Central]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Temple Quay Central
Context triple: [Temple Quay, hasOfficeBuildings, Temple Quay Central]
  • A. Temple Quay chosen
    Temple Quay is a modern waterfront business district in central Bristol, England, known for its offices, residential developments, and proximity to major transport links.
  • B. South Quay Plaza
    South Quay Plaza is a major residential skyscraper development in London’s Docklands, notable for its tall glass towers overlooking the Canary Wharf financial district.
  • C. Queen's Centre
    Queen's Centre is a major athletics, recreation, and student life complex at Queen's University in Kingston, Ontario.
  • D. Centenary Square
    Centenary Square is a major public square and civic space in central Birmingham, England, known for its prominent cultural and architectural landmarks.
  • E. Waverley Square
    Waverley Square is a commercial and transit-oriented neighborhood in Belmont, Massachusetts, known for its local shops and MBTA commuter rail station.
  • 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_69ad8b0c2ad081909ff87050ae542bb9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad96a1a9f8819095fe3198e9d3f6b0 completed March 8, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0866113688190ae222813b017c69f completed March 10, 2026, 9 p.m.
Created at: March 8, 2026, 2:52 p.m.