Triple

T2613000
Position Surface form Disambiguated ID Type / Status
Subject Ilonggo E58819 entity
Predicate spokenIn P2266 FINISHED
Object South Cotabato E57495 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: South Cotabato | Statement: [Ilonggo, spokenIn, South Cotabato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Cotabato
Context triple: [Ilonggo, spokenIn, South Cotabato]
  • A. South Cotabato chosen
    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.
  • B. North Cotabato
    North Cotabato is a landlocked province in the Soccsksargen region of Mindanao in the southern Philippines, known for its cultural diversity and agricultural economy.
  • 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_69ab4ac444dc819099614e534dd6021f completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd87c5fec8190a428b94b90265352 completed March 7, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce7ea0608190af4ef9655c612fbb completed March 10, 2026, 7:55 a.m.
Created at: March 6, 2026, 9:50 p.m.