Triple

T20935236
Position Surface form Disambiguated ID Type / Status
Subject Angkasa Pura II E515566 entity
Predicate operates P24 FINISHED
Object Minangkabau International Airport NE NERFINISHED

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: Minangkabau International Airport | Statement: [Angkasa Pura II, operates, Minangkabau International Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minangkabau International Airport
Context triple: [Angkasa Pura II, operates, Minangkabau International Airport]
  • A. Minangkabau International Airport chosen
    Minangkabau International Airport is the main airport serving Padang and the West Sumatra region of Indonesia, handling both domestic and international flights.
  • B. Syamsudin Noor International Airport
    Syamsudin Noor International Airport is the main commercial airport serving the Banjarmasin area in South Kalimantan, Indonesia.
  • C. Keningau Airport
    Keningau Airport is a small regional airfield serving the town of Keningau in the interior of Sabah, Malaysia.
  • D. Jumandy Airport
    Jumandy Airport is a regional airport serving the city of Tena and the surrounding Amazonian area in Ecuador.
  • E. Tanjung Manis Airport
    Tanjung Manis Airport is a regional airport in Sarawak, Malaysia, serving the Tanjung Manis area and supporting local economic and transport connectivity.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4fc13408190b06868df03c5c29b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f950d5e081908ec0df4824cf69f7 completed April 21, 2026, 4:13 a.m.
Created at: April 16, 2026, 12:49 p.m.