Triple

T9554472
Position Surface form Disambiguated ID Type / Status
Subject Visayan languages E230506 entity
Predicate hasLanguage P15 FINISHED
Object Masbateño language E593102 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: Masbateño language | Statement: [Visayan languages, hasLanguage, Masbateño language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Masbateño language
Context triple: [Visayan languages, hasLanguage, Masbateño language]
  • A. Masbateño language chosen
    Masbateño is a Central Philippine language spoken primarily on Masbate Island in the Philippines, descended from the ancestral Proto-Philippine language.
  • B. Boruca language
    The Boruca language is an endangered indigenous Chibchan language spoken by the Boruca people of southern Costa Rica.
  • C. Diegueño language
    The Diegueño language is a Yuman language traditionally spoken by the Kumeyaay (Diegueño) people of southern California and northern Baja California.
  • D. Ignaciano language
    The Ignaciano language is an Arawakan language spoken by the Ignaciano people of Bolivia’s Beni region, closely related to other Moxo (Mojeño) varieties.
  • E. Guarijío language
    The Guarijío language is an indigenous Uto-Aztecan language spoken by the Guarijío people of northern Mexico, particularly in the states of Chihuahua and Sonora.
  • 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_69ca847d3be8819099c9dad2a7e786f1 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd992412148190b092bd9918764d5f completed April 1, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1528bd99881909e3f51472a99917f completed April 4, 2026, 6:03 p.m.
Created at: March 30, 2026, 8:03 p.m.