Triple

T11087285
Position Surface form Disambiguated ID Type / Status
Subject MRT Kajang Line E262154 entity
Predicate system P730 FINISHED
Object Rapid KL E896723 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: Rapid KL | Statement: [MRT Kajang Line, system, Rapid KL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rapid KL
Context triple: [MRT Kajang Line, system, Rapid KL]
  • A. Rapid KL chosen
    Rapid KL is the main public transportation network operator in the Klang Valley region of Malaysia, managing urban rail and bus services including several key light rail transit lines.
  • B. K-Quick
    K-Quick is a music producer known for his work on Talib Kweli's album "Prisoner of Conscious."
  • C. KLAL
    KLAL is the ICAO airport code for Lakeland Linder International Airport in Lakeland, Florida, a regional airport known for general aviation and cargo operations.
  • D. KLu
    KLu is the commonly used abbreviation for the Royal Netherlands Air Force, the aerial warfare branch of the Dutch armed forces.
  • E. Rapid Fire
    Rapid Fire is a 1992 American action film starring Brandon Lee as a college student who becomes entangled in a deadly conflict between drug lords and federal agents.
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799c5008081908f59612243fa4f7a completed April 9, 2026, 12:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7a6dfa8819096f822294eb64dd1 completed April 18, 2026, 8:20 p.m.
Created at: April 8, 2026, 9:27 p.m.