Triple

T5059222
Position Surface form Disambiguated ID Type / Status
Subject Lombok International Airport E113981 entity
Predicate operator P179 FINISHED
Object Angkasa Pura I E296226 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: Angkasa Pura I | Statement: [Lombok International Airport, operator, Angkasa Pura I]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angkasa Pura I
Context triple: [Lombok International Airport, operator, Angkasa Pura I]
  • A. Angkasa Pura I chosen
    Angkasa Pura I is an Indonesian state-owned enterprise that manages and operates numerous major airports across central and eastern Indonesia.
  • B. Adisutjipto International Airport
    Adisutjipto International Airport is the main commercial airport serving the Yogyakarta region on the island of Java, Indonesia.
  • C. Husein Sastranegara International Airport
    Husein Sastranegara International Airport is the main commercial airport serving the city of Bandung in West Java, Indonesia.
  • D. Halim Perdanakusuma International Airport
    Halim Perdanakusuma International Airport is a major airport in Jakarta, Indonesia, serving both commercial flights and military operations.
  • E. Soekarno–Hatta International Airport
    Soekarno–Hatta International Airport is the main international gateway to Jakarta and one of Indonesia’s busiest airports, serving as a major hub for both domestic and international flights.
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7453daac8190b2946702c6c4bd93 completed March 20, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb102bb348190b235e4adb7a3f88b completed March 21, 2026, 2:53 p.m.
Created at: March 20, 2026, 1:38 p.m.