Triple

T6510208
Position Surface form Disambiguated ID Type / Status
Subject Carolinean people E150107 entity
Predicate usesLanguage P238 FINISHED
Object Woleaian language E146934 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: Woleaian language | Statement: [Carolinean people, usesLanguage, Woleaian language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woleaian language
Context triple: [Carolinean people, usesLanguage, Woleaian language]
  • A. Woleaian language chosen
    The Woleaian language is a Micronesian language spoken primarily on the atolls of Woleai and nearby islands in the Federated States of Micronesia.
  • B. Wewewa language
    The Wewewa language is an Austronesian language spoken by the Wewewa people on the western part of Sumba Island in eastern Indonesia.
  • C. Wolio language
    The Wolio language is an Austronesian language spoken primarily on Buton Island in Southeast Sulawesi, Indonesia, and serves as an important regional lingua franca.
  • D. Wapishana language
    The Wapishana language is an indigenous Arawakan language spoken primarily by the Wapishana people in parts of Brazil and Guyana.
  • E. Eonavian language
    Eonavian language is a Romance language variety spoken in the western coastal region of Asturias, Spain, sharing features with both Galician and Asturian.
  • 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_69c687ef291081909d437f035eef1cda completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c69f398f10819096342f3646cefcc2 completed March 27, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb5dd5b88190b0928b44ebc91609 completed March 27, 2026, 6:24 p.m.
Created at: March 27, 2026, 1:43 p.m.