Triple

T5664399
Position Surface form Disambiguated ID Type / Status
Subject Beni Department E124822 entity
Predicate hasIndigenousLanguages P5562 FINISHED
Object Moxeño E145182 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: Moxeño | Statement: [Beni Department, hasIndigenousLanguages, Moxeño]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moxeño
Context triple: [Beni Department, hasIndigenousLanguages, Moxeño]
  • A. Moxeño chosen
    Moxeño is an indigenous Arawakan language spoken by the Moxeño people of Bolivia’s Beni region.
  • B. Carvallo
    Carvallo is a surname, likely a variant of Carvajal, found in Spanish- and Portuguese-speaking regions.
  • C. Longone Sabino
    Longone Sabino is a small Italian municipality in the Lazio region, known for its rural setting and proximity to the Apennine mountains.
  • D. Tocopilla
    Tocopilla is a coastal city and port in northern Chile known for its mining industry and location on the Pacific Ocean.
  • E. Chuch’e
    Chuch’e is an alternative spelling of Juche, the North Korean state ideology centered on political self-reliance and national independence.
  • 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_69c00828906881908966f270b8f130cf completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0232497a08190ab7227f0e135a29e completed March 22, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a2b38c88190bdd0e172644df081 completed March 22, 2026, 9:07 p.m.
Created at: March 22, 2026, 3:43 p.m.