Triple

T15510939
Position Surface form Disambiguated ID Type / Status
Subject KLCC LRT station E368705 entity
Predicate fareSystem P395 FINISHED
Object Touch 'n Go E842367 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: Touch 'n Go | Statement: [KLCC LRT station, fareSystem, Touch 'n Go]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Touch 'n Go
Context triple: [KLCC LRT station, fareSystem, Touch 'n Go]
  • A. Touch 'n Go chosen
    Touch 'n Go is a Malaysian contactless smart card payment system widely used for public transportation fares, tolls, and various retail transactions.
  • B. Petronas Carigali Sdn Bhd
    Petronas Carigali Sdn Bhd is the exploration and production arm of Malaysia’s national oil company, responsible for upstream oil and gas activities domestically and internationally.
  • C. KTM Komuter
    KTM Komuter is a Malaysian commuter rail service operating in the Greater Kuala Lumpur area and surrounding regions, providing frequent, affordable suburban train connections.
  • D. PETRONAS
    PETRONAS is Malaysia’s state-owned oil and gas company, recognized globally for its integrated energy operations and prominent sponsorships in international motorsports.
  • E. Axiata Group
    Axiata Group is a leading telecommunications conglomerate based in Malaysia with operations across multiple Asian markets.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04030c0208190a1931ea130075603 completed April 16, 2026, 1:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff36702ebc81908d6a00243865de61 completed May 9, 2026, 1:28 p.m.
Created at: April 10, 2026, 3:55 a.m.