Triple

T18599644
Position Surface form Disambiguated ID Type / Status
Subject Somerset MRT station E454584 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: [Somerset MRT station, locatedIn, Central Area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Area
Context triple: [Somerset MRT station, locatedIn, Central Area]
  • A. Central Area chosen
    Central Area is the main commercial and downtown core of Singapore, encompassing its primary business, financial, and civic districts.
  • B. 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.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5474f1d548190b74408eabd396344 completed April 19, 2026, 9:21 p.m.
Created at: April 10, 2026, 11:45 a.m.