Triple

T18627206
Position Surface form Disambiguated ID Type / Status
Subject Wintu E455313 entity
Predicate neighboringGroup P5965 FINISHED
Object Yana NE NERFINISHED

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: Yana | Statement: [Wintu, neighboringGroup, Yana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yana
Context triple: [Wintu, neighboringGroup, Yana]
  • A. Yana
    Yana is a professor character from the Doctor Who universe whose true identity is central to a major plot twist.
  • B. Yana chosen
    Yana is a small family of extinct Native American languages once spoken in northern California.
  • C. Yan Yana
    Yan Yana is a notable literary work by Turkish poet and writer Melih Cevdet Anday.
  • D. Yani
    Yani is an Indonesian surname most notably associated with General Ahmad Yani, a national hero and high-ranking military officer killed during the 1965 coup attempt.
  • E. Vanayu
    Vanayu is a relatively obscure figure in Hindu mythology, known primarily as one of the sons of the legendary king Pururavas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54f0581f0819083c1aba9fb85f6a7 completed April 19, 2026, 9:54 p.m.
Created at: April 10, 2026, 11:46 a.m.