Triple

T22079145
Position Surface form Disambiguated ID Type / Status
Subject Uru-Chipaya language E545599 entity
Predicate hasDialect P4251 FINISHED
Object Uru 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: Uru | Statement: [Uru-Chipaya language, hasDialect, Uru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uru
Context triple: [Uru-Chipaya language, hasDialect, Uru]
  • A. Uru chosen
    The Uru are an indigenous people of the Andean region, traditionally known for their unique lake-based lifestyle and reed-built settlements, particularly around Lake Titicaca.
  • B. Uruyén
    Uruyén is a small settlement in southeastern Venezuela, known as a gateway community for visitors exploring the Auyán-tepui plateau and Angel Falls region.
  • C. Uruca
    Uruca is a district of San José, Costa Rica, known as an important industrial and commercial area within the capital.
  • D. Guará
    Guará is an administrative region and residential suburb within Brazil’s Federal District, located near Brasília.
  • E. Curarén
    Curarén is a small municipality located in the Francisco Morazán Department of central Honduras.
  • 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_69e11e3523488190badd54b5d580c00d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128b43df0819090c248ded98fad12 completed April 28, 2026, 9:37 p.m.
Created at: April 16, 2026, 8:28 p.m.