Triple

T6777195
Position Surface form Disambiguated ID Type / Status
Subject Yavitero language E155586 entity
Predicate hasAlternativeName P39 FINISHED
Object Yaviteru E618334 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: Yaviteru | Statement: [Yavitero language, hasAlternativeName, Yaviteru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yaviteru
Context triple: [Yavitero language, hasAlternativeName, Yaviteru]
  • A. Yavitero chosen
    Yavitero is an extinct Arawakan language once spoken by the Yavitero people in the Amazon region of Venezuela and Colombia.
  • B. Yokadouma
    Yokadouma is a town in eastern Cameroon that serves as an important local administrative and commercial center near the country's forested border regions.
  • C. Sonamura
    Sonamura is a town in the Indian state of Tripura, known as an administrative and commercial center near the India–Bangladesh border.
  • D. Yotowawa
    Yotowawa is an alternative name for the Kisar language, an Austronesian language spoken on Kisar Island in Indonesia.
  • E. Takutea
    Takutea is an uninhabited coral atoll in the Cook Islands known for its important seabird nesting colonies and traditional conservation practices.
  • 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_69c688162bf8819088b664b5c3b5be7a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d26725208190b64935cfd08b2aff completed March 27, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7582b5a0c819085e6b8d07d6ab2f7 completed March 28, 2026, 4:25 a.m.
Created at: March 27, 2026, 2:13 p.m.