Triple

T22302267
Position Surface form Disambiguated ID Type / Status
Subject Raffles Place MRT station E551285 entity
Predicate locatedIn P40 FINISHED
Object Central Area 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: Central Area | Statement: [Raffles Place MRT station, locatedIn, Central Area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Area
Context triple: [Raffles Place MRT station, locatedIn, Central Area]
  • A. Central Area
    Central Area is a main recreational section of Gunpowder Falls State Park in Maryland, offering outdoor activities such as hiking, fishing, and picnicking.
  • B. Central Area chosen
    Central Area is the main commercial and downtown core of Singapore, encompassing its primary business, financial, and civic districts.
  • C. Central Zone
    Central Zone is the central urban district of São Paulo, Brazil, encompassing the historic downtown area and serving as a major hub for commerce, transport, and public services.
  • D. Central Districts
    Central Districts is a New Zealand domestic first-class cricket team representing several central regions of the country in national competitions.
  • E. Mid-Cities region
    The Mid-Cities region is a suburban area in North Texas situated between Dallas and Fort Worth, encompassing several cities that serve as residential and commercial hubs for the larger metroplex.
  • 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_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1572517588190bef6f8bfb76afb19 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:41 p.m.