Triple

T11903309
Position Surface form Disambiguated ID Type / Status
Subject Pigcawayan E283210 entity
Predicate countrySubdivision P766 FINISHED
Object North Cotabato E58271 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: North Cotabato | Statement: [Pigcawayan, countrySubdivision, North Cotabato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North Cotabato
Context triple: [Pigcawayan, countrySubdivision, North Cotabato]
  • A. North Cotabato chosen
    North Cotabato is a landlocked province in the Soccsksargen region of Mindanao in the southern Philippines, known for its cultural diversity and agricultural economy.
  • B. South Cotabato
    South Cotabato is a province in the southern Philippines on the island of Mindanao, known for its culturally diverse population, agricultural economy, and scenic highland landscapes.
  • C. Zamboanga del Sur
    Zamboanga del Sur is a province in the Philippines located in the Zamboanga Peninsula region on the island of Mindanao.
  • D. Maguindanao
    Maguindanao is a province in the Bangsamoro Autonomous Region in Muslim Mindanao in the southern Philippines, known for its predominantly Muslim population and rich Maguindanaon culture.
  • E. Zamboanga del Norte
    Zamboanga del Norte is a province in the Philippines known for its coastal landscapes, diverse cultures, and the city of Dipolog as its capital.
  • 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8dd1792648190853f15fbf217eebd completed April 10, 2026, 11:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01232149f88190b385fca6a7588d7b completed May 11, 2026, 12:30 a.m.
Created at: April 8, 2026, 9:44 p.m.