Triple

T31586676
Position Surface form Disambiguated ID Type / Status
Subject Novena, Singapore E805973 entity
Predicate MRTLine P18378 FINISHED
Object North South Line 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: North South Line | Statement: [Novena, Singapore, MRTLine, North South Line]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: MRTLine
Context triple: [Novena, Singapore, MRTLine, North South Line]
  • A. subwayLine chosen
    Indicates that there is a subway line connection or service relationship between the referenced entities.
  • B. lightRailNetwork
    Indicates a relationship where an area, city, or region is served by or contains a light rail transit network.
  • C. monorailLines
    Indicates that there is a monorail transit line or system associated with, serving, or present in the referenced entity.
  • D. cityRailNetwork
    Indicates that there exists a rail-based public transportation system operating within and serving the specified city.
  • E. metroLineInaugurated
    Indicates that a metro line was officially opened and began operation on a specific date or during a specific event.
  • F. None of above.

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_69f348d4891c8190b02bae3c8ecb68b7 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a80df52c819092af926fd63fa1a3 completed May 3, 2026, 1:42 a.m.
PD Predicate disambiguation batch_69f6a75656e081908739ed9e2f600e42 completed May 3, 2026, 1:39 a.m.
Created at: April 30, 2026, 10:26 p.m.