Triple

T10897220
Position Surface form Disambiguated ID Type / Status
Subject Sarangani E257340 entity
Predicate hasEthnicGroup P1898 FINISHED
Object Kalagan E458393 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: Kalagan | Statement: [Sarangani, hasEthnicGroup, Kalagan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalagan
Context triple: [Sarangani, hasEthnicGroup, Kalagan]
  • A. Kalagan chosen
    The Kalagan are an indigenous Moro ethnolinguistic group in the southern Philippines, known for their distinct language, culture, and Islamic-influenced traditions.
  • B. Calatagan
    Calatagan is a coastal municipality in the province of Batangas in the Philippines, known for its beaches, diving spots, and historical sites.
  • C. Lubuagan Kalinga
    Lubuagan Kalinga is a major dialect of the Kalinga language spoken by indigenous communities in the Lubuagan area of Kalinga province in the northern Philippines.
  • D. Balamban
    Balamban is a coastal municipality in the province of Cebu in the Philippines, known for its shipbuilding industry and growing economic zone.
  • E. Pulilan
    Pulilan is a municipality in the province of Bulacan in the Philippines, known for its agricultural economy and the annual Kneeling Carabao Festival honoring San Isidro Labrador.
  • 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_69e23b9e5ddc81908cbd27e8db49dbaf completed April 17, 2026, 1:54 p.m.
Created at: April 8, 2026, 9:21 p.m.