Triple

T17592463
Position Surface form Disambiguated ID Type / Status
Subject Yao E428479 entity
Predicate notableSubgroup P4297 FINISHED
Object Bunu 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: Bunu | Statement: [Yao, notableSubgroup, Bunu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bunu
Context triple: [Yao, notableSubgroup, Bunu]
  • A. Bunu chosen
    Bunu is a Hmong-Mien language spoken by the Bunu people, primarily in southern China.
  • B. Bunun people
    The Bunun people are an indigenous Austronesian ethnic group of Taiwan, traditionally known as highland farmers and hunters with rich polyphonic vocal music and distinct cultural practices.
  • C. Böle
    Böle is the Swedish name for Pasila, a major district and transportation hub in Helsinki, Finland.
  • D. Buna
    Buna is a short but significant karst river in Bosnia and Herzegovina, renowned for its powerful spring at Blagaj and its contribution to the Neretva river system.
  • E. Buna
    Buna is the Nazi concentration and labor camp complex near Auschwitz where Elie Wiesel is imprisoned in his memoir "Night."
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469e79dac8190953a1ce8fc015b20 completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 5:51 a.m.