Triple

T22459720
Position Surface form Disambiguated ID Type / Status
Subject Raffles Place E555197 entity
Predicate hasLandmark P105 FINISHED
Object UOB Plaza NE NERFINISHED

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: UOB Plaza | Statement: [Raffles Place, hasLandmark, UOB Plaza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UOB Plaza
Context triple: [Raffles Place, hasLandmark, UOB Plaza]
  • A. UOB Plaza chosen
    UOB Plaza is a prominent twin-tower commercial skyscraper complex in Singapore’s central business district, housing major offices including the headquarters of United Overseas Bank.
  • B. Sungei Wang Plaza
    Sungei Wang Plaza is a long-established, mid-range shopping complex in Kuala Lumpur known for its maze-like layout, affordable fashion, and diverse mix of small retailers.
  • C. Raffles City Singapore
    Raffles City Singapore is a major integrated development in downtown Singapore comprising a shopping mall, office towers, hotels, and a convention center.
  • D. VivoCity shopping mall
    VivoCity shopping mall is one of Singapore’s largest retail and lifestyle complexes, located at HarbourFront and serving as a key gateway to Sentosa Island.
  • E. Berjaya Times Square
    Berjaya Times Square is a massive mixed-use complex in Kuala Lumpur featuring one of Malaysia’s largest shopping malls, a hotel, and various entertainment attractions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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.
Created at: April 16, 2026, 8:48 p.m.