Triple

T18766946
Position Surface form Disambiguated ID Type / Status
Subject Boac E458915 entity
Predicate hasNearbyAirport P4363 FINISHED
Object Marinduque 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: Marinduque Airport | Statement: [Boac, hasNearbyAirport, Marinduque Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marinduque Airport
Context triple: [Boac, hasNearbyAirport, Marinduque Airport]
  • A. Marinduque Airport chosen
    Marinduque Airport is a small domestic airport in the Philippines that serves the island province of Marinduque, providing air connectivity primarily to and from Manila.
  • B. Siquijor Airport
    Siquijor Airport is a small domestic airport serving the island province of Siquijor in the Central Visayas region of the Philippines.
  • C. Bantayan Airport
    Bantayan Airport is a small public airfield serving Bantayan Island in Cebu, Philippines, primarily handling domestic and charter flights for tourists and local residents.
  • D. Pagadian Airport
    Pagadian Airport is a domestic airport in the Philippines serving the city of Pagadian and surrounding areas in Zamboanga del Sur.
  • E. Calbayog Airport
    Calbayog Airport is a domestic airport in Calbayog City, Samar, Philippines, serving as an air transport hub for the city and surrounding areas in Eastern Visayas.
  • 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e58d84cfa881909a1d3f7a5ab82574 completed April 20, 2026, 2:20 a.m.
Created at: April 10, 2026, 11:52 a.m.