Triple

T22932832
Position Surface form Disambiguated ID Type / Status
Subject Behoa language E569486 entity
Predicate hasAlternativeName P39 FINISHED
Object Behoa’ 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: Behoa’ | Statement: [Behoa language, hasAlternativeName, Behoa’]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Behoa’
Context triple: [Behoa language, hasAlternativeName, Behoa’]
  • A. Behoa chosen
    Behoa is an Austronesian language spoken by an indigenous community in Central Sulawesi, Indonesia.
  • B. Behati
    Behati is a Namibian-born fashion model best known for her work as a Victoria’s Secret Angel and her high-profile presence in the international modeling industry.
  • C. Mabuyag
    Mabuyag is a small inhabited island in the western Torres Strait region of Queensland, Australia, known for its Indigenous Torres Strait Islander community and rich cultural heritage.
  • D. Bulebel
    Bulebel is an industrial and residential area forming part of the town of Żejtun in Malta.
  • E. Chama
    Chama is an alternative name for the Ese Ejja, an Indigenous people of the Amazonian region of Bolivia and Peru.
  • 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181337ff881909d90cf3f5bae7516 completed April 29, 2026, 3:55 a.m.
Created at: April 17, 2026, 3:44 p.m.