Triple

T10897215
Position Surface form Disambiguated ID Type / Status
Subject Sarangani E257340 entity
Predicate hasIndigenousPeople P194 FINISHED
Object Tagakaulo E283209 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: Tagakaulo | Statement: [Sarangani, hasIndigenousPeople, Tagakaulo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tagakaulo
Context triple: [Sarangani, hasIndigenousPeople, Tagakaulo]
  • A. Tagakaulo chosen
    Tagakaulo are an indigenous ethnic group in the southern Philippines, traditionally inhabiting parts of Mindanao and known for their distinct language and cultural practices.
  • B. Mamburao
    Mamburao is a coastal municipality in the Philippines that serves as the capital of the province of Occidental Mindoro in the Mimaropa region.
  • C. Tupuri
    The Tupuri are an ethnic group of Central Africa, primarily living in northern Cameroon and southwestern Chad, known for their distinct language and agrarian lifestyle.
  • D. Buruanga
    Buruanga is a coastal municipality in the province of Aklan in the Philippines, known for its scenic beaches and proximity to the tourist island of Boracay.
  • E. Kuikuro-Kalapalo
    Kuikuro-Kalapalo is a Cariban language spoken by Indigenous communities in Brazil’s Upper Xingu region of the Amazon.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75d02e4c88190b8286078e90bf913 completed April 9, 2026, 8:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69e216b417bc8190b35477e9d363a289 completed April 17, 2026, 11:17 a.m.
Created at: April 8, 2026, 9:21 p.m.