Triple

T15901784
Position Surface form Disambiguated ID Type / Status
Subject Tagbanwa script E385605 entity
Predicate relatedTo P37 FINISHED
Object Buhid script E613096 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: Buhid script | Statement: [Tagbanwa script, relatedTo, Buhid script]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buhid script
Context triple: [Tagbanwa script, relatedTo, Buhid script]
  • A. Buhid script chosen
    The Buhid script is an indigenous Brahmic-derived writing system from the Philippines used primarily by the Buhid people of Mindoro.
  • B. Hanunóo script
    The Hanunóo script is an indigenous Brahmic-derived syllabic writing system traditionally used by the Hanunóo Mangyan people of Mindoro in the Philippines.
  • C. Bugis script
    Bugis script is a traditional Brahmic writing system used primarily for the Buginese language of South Sulawesi, Indonesia.
  • D. Han script
    The Han script is the traditional logographic writing system used for Chinese and historically adopted, with adaptations, by several East Asian languages.
  • E. Woleai script
    Woleai script is an indigenous syllabic writing system historically used by the people of Woleai Atoll in Micronesia.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563db01081908dd94a2536ef2107 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb04f3ea08190b5581768770677e8 completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:52 a.m.