Triple

T13475239
Position Surface form Disambiguated ID Type / Status
Subject KUL E318232 entity
Predicate connectedBy P37 FINISHED
Object KLIA Transit E409255 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: KLIA Transit | Statement: [KUL, connectedBy, KLIA Transit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KLIA Transit
Context triple: [KUL, connectedBy, KLIA Transit]
  • A. KLIA2
    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 chosen
    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. Langkawi International Airport
    Langkawi International Airport is the main airport serving the resort island of Langkawi in Malaysia, handling domestic and international flights for tourists and locals.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf2551b48190a074fd256791742d completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f7fcab0819091146d54d56f08d7 completed May 3, 2026, 5:01 p.m.
Created at: April 9, 2026, 9:42 p.m.