Triple

T10958573
Position Surface form Disambiguated ID Type / Status
Subject KTM Komuter E258906 entity
Predicate connectsWith P37 FINISHED
Object Sri Petaling Line E260330 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: Sri Petaling Line | Statement: [KTM Komuter, connectsWith, Sri Petaling Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sri Petaling Line
Context triple: [KTM Komuter, connectsWith, Sri Petaling Line]
  • A. LRT Ampang Line chosen
    The LRT Ampang Line is a light rapid transit line serving Kuala Lumpur and its surrounding areas, forming part of the city's integrated urban rail network.
  • B. MRT Kajang Line
    The MRT Kajang Line is a major mass rapid transit line serving Kuala Lumpur and its surrounding areas, forming part of the city's modern urban rail network.
  • C. Seremban Line
    The Seremban Line is a commuter rail line in Malaysia serving the Klang Valley region, connecting central Kuala Lumpur with Seremban and surrounding suburban areas.
  • D. MRT Putrajaya Line
    The MRT Putrajaya Line is a major mass rapid transit corridor in the Klang Valley region of Malaysia, connecting central Kuala Lumpur with Putrajaya and surrounding suburbs.
  • E. LRT Kelana Jaya Line
    The LRT Kelana Jaya Line is a major automated light rapid transit line serving Kuala Lumpur and its surrounding areas, forming a key component of the city's urban rail network.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77126d9288190aa5daf2ba83d731d completed April 9, 2026, 9:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3e6fd11b08190b587bebf9586f754 completed April 18, 2026, 8:18 p.m.
Created at: April 8, 2026, 9:23 p.m.