Triple

T20025592
Position Surface form Disambiguated ID Type / Status
Subject Daniel Z. Romualdez Airport E494973 entity
Predicate isMainAirportOf P281 FINISHED
Object Tacloban 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: Tacloban | Statement: [Daniel Z. Romualdez Airport, isMainAirportOf, Tacloban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tacloban
Context triple: [Daniel Z. Romualdez Airport, isMainAirportOf, Tacloban]
  • A. Tacloban chosen
    Tacloban is a highly urbanized coastal city in the Eastern Visayas region of the Philippines, known as a regional center and for being severely impacted by Typhoon Haiyan in 2013.
  • B. Catbalogan
    Catbalogan is a coastal city in the Philippines that serves as the capital and commercial hub of Samar province.
  • C. Caticlan
    Caticlan is a coastal barangay in Malay, Aklan in the Philippines, best known as the main gateway to the resort island of Boracay via its nearby jetty port and airport.
  • D. Calasiao
    Calasiao is a municipality in the Philippine province of Pangasinan known for its historic churches and famous native rice cakes called "puto Calasiao."
  • E. Surigao City
    Surigao City is a coastal city in the Caraga region of northeastern Mindanao in the Philippines, known as the “City of Island Adventures” for its numerous islands, beaches, and marine attractions.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6628d5b8c8190a35f95ac4a016550 completed April 20, 2026, 5:29 p.m.
Created at: April 11, 2026, 3:35 p.m.