Triple

T12118689
Position Surface form Disambiguated ID Type / Status
Subject Tboli E288632 entity
Predicate hasProvince P285 FINISHED
Object South Cotabato 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: South Cotabato | Statement: [Tboli, hasProvince, South Cotabato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Cotabato
Context triple: [Tboli, hasProvince, 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 (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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915760d208190b68f5e024b3676ba completed April 10, 2026, 3:21 p.m.
Created at: April 8, 2026, 9:49 p.m.