Triple

T11998278
Position Surface form Disambiguated ID Type / Status
Subject Downtown Core E285585 entity
Predicate borders P224 FINISHED
Object Kallang E887738 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: Kallang | Statement: [Downtown Core, borders, Kallang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kallang
Context triple: [Downtown Core, borders, 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. 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.
  • D. Bukit Merah
    Bukit Merah is a residential and commercial planning area in central Singapore known for its public housing estates, amenities, and proximity to the city’s downtown.
  • E. Tanjong Pagar
    Tanjong Pagar is a historic and densely built-up district in central Singapore known for its conserved shophouses, vibrant dining scene, and mix of traditional and modern high-rise developments.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c172788190b92042e9d10a48bf completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48ad06350819094180403858db172 completed May 1, 2026, 11:13 a.m.
Created at: April 8, 2026, 9:46 p.m.