Triple

T22459730
Position Surface form Disambiguated ID Type / Status
Subject Raffles Place E555197 entity
Predicate hasLandmark P105 FINISHED
Object Clifford Centre E1529556 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: Clifford Centre | Statement: [Raffles Place, hasLandmark, Clifford Centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clifford Centre
Context triple: [Raffles Place, hasLandmark, Clifford Centre]
  • A. Clifford Centre chosen
    Clifford Centre is a commercial office and retail building located in Singapore’s central business district near Raffles Place.
  • B. Aviva Centre
    Aviva Centre is a major tennis stadium and sports complex in Toronto, Canada, best known as the primary venue for the National Bank Open (formerly Rogers Cup) professional tennis tournament.
  • C. Cira Centre
    Cira Centre is a distinctive glass-clad office skyscraper in Philadelphia, Pennsylvania, known for its angular design and prominent presence near 30th Street Station.
  • D. York Centre
    York Centre is a federal electoral district in Toronto, Ontario, known for its diverse, largely urban population and long-standing Liberal Party representation.
  • E. Greenoaks Centre
    Greenoaks Centre is a retail shopping complex located in the town of Widnes in Cheshire, England.
  • 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_69e11e51fdec8190adfdf9f8a6362221 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b7e01fc8190825c3dc024484440 completed April 29, 2026, 1:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b0c8217ac8190af16df3d941446ce completed May 18, 2026, 12:56 p.m.
Created at: April 16, 2026, 8:48 p.m.