Triple

T13712799
Position Surface form Disambiguated ID Type / Status
Subject Catarman E328815 entity
Predicate servedBy P82 FINISHED
Object Catarman National Airport E1064129 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: Catarman National Airport | Statement: [Catarman, servedBy, Catarman National Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catarman National Airport
Context triple: [Catarman, servedBy, Catarman National Airport]
  • A. Catarman National Airport chosen
    Catarman National Airport is a domestic airport serving the municipality of Catarman and the surrounding areas in Northern Samar, Philippines.
  • B. Jacinto Lara International Airport
    Jacinto Lara International Airport is the main commercial airport serving the city of Barquisimeto in western Venezuela.
  • C. Manuel Crescencio Rejón International Airport
    Manuel Crescencio Rejón International Airport is the main international airport serving the city of Mérida in Mexico’s Yucatán Peninsula.
  • D. Guerrero Negro Airport
    Guerrero Negro Airport is a small regional airport in Baja California Sur, Mexico, serving the town of Guerrero Negro and its surrounding area.
  • E. Rodríguez Ballón International Airport
    Rodríguez Ballón International Airport is the main commercial airport serving the city of Arequipa in southern Peru, handling domestic and limited 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd4395e8c0819098719c8cd344aa33 completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0dd20348190adfb1712de06088c completed May 3, 2026, 9:40 p.m.
Created at: April 9, 2026, 9:54 p.m.