Triple

T16835161
Position Surface form Disambiguated ID Type / Status
Subject KLIA Ekspres E409255 entity
Predicate terminus P388 FINISHED
Object KLIA2 E1046538 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: KLIA2 | Statement: [KLIA Ekspres, terminus, KLIA2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KLIA2
Context triple: [KLIA Ekspres, terminus, KLIA2]
  • A. KLIA2 chosen
    KLIA2 is the low-cost carrier terminal at Kuala Lumpur International Airport, serving as a major hub for budget airlines in Malaysia.
  • B. KLIA Ekspres
    KLIA Ekspres is a high-speed airport rail service in Malaysia that provides a non-stop connection between central Kuala Lumpur and Kuala Lumpur International Airport.
  • C. Kuala Lumpur International Airport
    Kuala Lumpur International Airport is Malaysia’s primary international gateway and one of Southeast Asia’s major aviation hubs, serving as the central base for Malaysia Airlines and numerous global carriers.
  • D. Johor Bahru Airport
    Johor Bahru Airport is a major international airport in the Malaysian state of Johor, serving the city of Johor Bahru and the surrounding southern region of Peninsular Malaysia.
  • E. Melaka International Airport
    Melaka International Airport is a regional public airport serving the state of Malacca in Malaysia, handling domestic flights and limited international services.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b31aa44c8190b4f402f1898e6998 completed April 18, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fb6aff481908cb3d03b229ebf11 completed May 11, 2026, 4:48 a.m.
Created at: April 10, 2026, 5:23 a.m.