Triple

T21710679
Position Surface form Disambiguated ID Type / Status
Subject Ignaciano Moxeño E535893 entity
Predicate autonymLanguage P1435 FINISHED
Object Ignaciano 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: Ignaciano | Statement: [Ignaciano Moxeño, autonymLanguage, Ignaciano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ignaciano
Context triple: [Ignaciano Moxeño, autonymLanguage, Ignaciano]
  • A. Ignaciano chosen
    Ignaciano is a variety of the Mojeño language spoken by the Ignaciano indigenous community in Bolivia.
  • B. Ignacio
    Ignacio is a small unincorporated community in Marin County, California, located near the city of Novato.
  • C. Ignacio
    Ignacio is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • D. Indalecio
    Indalecio is a masculine given name of Spanish origin, notably borne by the Spanish socialist politician Indalecio Prieto.
  • E. Elicio
    Elicio is a shepherd and one of the principal pastoral protagonists in Miguel de Cervantes’ early novel "La Galatea."
  • 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_69e0c46b44c0819088ab883ebd44e0e8 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efb5333c8481909d729fb3bc3c9bc5 completed April 27, 2026, 7:12 p.m.
Created at: April 16, 2026, 6:46 p.m.