Triple

T13534043
Position Surface form Disambiguated ID Type / Status
Subject Dipolog E323212 entity
Predicate hasAirport P105 FINISHED
Object Dipolog Airport E966451 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: Dipolog Airport | Statement: [Dipolog, hasAirport, Dipolog Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dipolog Airport
Context triple: [Dipolog, hasAirport, Dipolog Airport]
  • A. Dipolog Airport chosen
    Dipolog Airport is a domestic airport serving the city of Dipolog and the surrounding province of Zamboanga del Norte in the Philippines.
  • B. Zamboanga International Airport
    Zamboanga International Airport is a major domestic and regional airport in the southern Philippines serving Zamboanga City and the surrounding areas of Mindanao.
  • C. Pagadian Airport
    Pagadian Airport is a domestic airport in the Philippines serving the city of Pagadian and surrounding areas in Zamboanga del Sur.
  • D. 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.
  • E. Bacolod–Silay Airport
    Bacolod–Silay Airport is a major domestic airport in Negros Occidental, Philippines, serving the Bacolod metropolitan area and nearby cities.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafbcad2881909fb7490311807f75 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d980cac8190a7f7fda56abda361 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:44 p.m.