Triple

T19232681
Position Surface form Disambiguated ID Type / Status
Subject Jalan Besar Stadium E480909 entity
Predicate locatedIn P40 FINISHED
Object Kallang 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: Kallang | Statement: [Jalan Besar Stadium, locatedIn, Kallang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kallang
Context triple: [Jalan Besar Stadium, locatedIn, Kallang]
  • A. Kallang chosen
    Kallang is a planning area and residential town in central Singapore known for landmarks like the Singapore Sports Hub and its historic role as a transport and recreational hub.
  • B. Hong Lim Green
    Hong Lim Green is a historic public field in Singapore that served as one of the key sites used by the Japanese military to screen and detain civilians during the Sook Ching massacre in World War II.
  • C. Marsiling
    Marsiling is a residential and industrial subzone in northern Singapore known for its public housing estates, parks, and proximity to the Johor–Singapore Causeway.
  • D. Bayan Lepas
    Bayan Lepas is a township in the southwestern part of Penang Island, Malaysia, known for its industrial zone, residential areas, and role as a key transportation and commercial hub.
  • E. Raffles Quay
    Raffles Quay is a key commercial street in Singapore’s central business district, lined with office towers and financial institutions.
  • 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_69d8e8ccb8f48190ad420098e74fb1db completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa9fa7348190947129273d19c9a7 completed April 20, 2026, 10:06 a.m.
Created at: April 10, 2026, 1:25 p.m.