Triple

T12755563
Position Surface form Disambiguated ID Type / Status
Subject Shenton Way E304849 entity
Predicate near P350 FINISHED
Object Tanjong Pagar E958903 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: Tanjong Pagar | Statement: [Shenton Way, near, Tanjong Pagar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tanjong Pagar
Context triple: [Shenton Way, near, Tanjong Pagar]
  • A. Tanjong Pagar chosen
    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.
  • B. Tanjong Sepat
    Tanjong Sepat is a coastal town in the Sepang District of Selangor, Malaysia, known for its fishing industry, seafood, and seaside attractions.
  • C. 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.
  • D. Ampang Point
    Ampang Point is a prominent shopping mall and commercial hub located in Ampang Jaya, Selangor, Malaysia.
  • E. Marina East, Singapore
    Marina East, Singapore is a reclaimed coastal planning area and parkland zone located along the southeastern waterfront of Singapore, featuring recreational spaces and views of the city skyline.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d8b57b88190b29b8fdca415c81c completed April 10, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c9aa6308190bfcb1511a561c0f9 completed May 2, 2026, 10:37 p.m.
Created at: April 9, 2026, 5:27 p.m.