Triple

T5615583
Position Surface form Disambiguated ID Type / Status
Subject Manobo languages E147468 entity
Predicate hasSubgroup P747 FINISHED
Object Kagayanen E274442 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: Kagayanen | Statement: [Manobo languages, hasSubgroup, Kagayanen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kagayanen
Context triple: [Manobo languages, hasSubgroup, Kagayanen]
  • A. Aguiguan
    Aguiguan is a small, uninhabited island in the Northern Mariana Islands known for its rugged terrain and seabird colonies.
  • B. Kalagan
    The Kalagan are an indigenous Moro ethnolinguistic group in the southern Philippines, known for their distinct language, culture, and Islamic-influenced traditions.
  • C. Himamaylan
    Himamaylan is a coastal component city in the southern part of Negros Occidental in the Philippines, known historically as one of the province’s older settlements.
  • D. Tanauan
    Tanauan is a city in the Calabarzon region of the Philippines known for its growing industrial zones and proximity to Metro Manila.
  • E. Kinaray-a chosen
    Kinaray-a is an Austronesian language of the Visayan group spoken primarily in the western part of the island of Panay in the Philippines, especially associated with the Karay-a people.
  • 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_69c00905d4588190bd967842bbcf2219 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c021d8d600819097df4e265e262d90 completed March 22, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07d9efae4819089c595682e270188 completed March 22, 2026, 11:39 p.m.
Created at: March 22, 2026, 3:39 p.m.