Triple

T18740057
Position Surface form Disambiguated ID Type / Status
Subject Orchard Road E458263 entity
Predicate nearbyArea P2064 FINISHED
Object Dhoby Ghaut 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: Dhoby Ghaut | Statement: [Orchard Road, nearbyArea, Dhoby Ghaut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dhoby Ghaut
Context triple: [Orchard Road, nearbyArea, Dhoby Ghaut]
  • A. Dhoby Ghaut chosen
    Dhoby Ghaut is a major commercial and transport hub in central Singapore, known for its busy MRT interchange and proximity to shopping malls and cultural landmarks.
  • B. Raffles Quay
    Raffles Quay is a key commercial street in Singapore’s central business district, lined with office towers and financial institutions.
  • C. Boat Quay
    Boat Quay is a historic riverside quay and dining district along the Singapore River, known for its conserved shophouses, nightlife, and role in Singapore’s early commercial development.
  • D. 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.
  • E. Raffles Place
    Raffles Place is a major commercial and financial district in downtown Singapore, known for its concentration of office skyscrapers and proximity to the Singapore River.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5768d6a208190817abe904fab433b completed April 20, 2026, 12:42 a.m.
Created at: April 10, 2026, 11:51 a.m.