Triple

T12766381
Position Surface form Disambiguated ID Type / Status
Subject Puquina E305135 entity
Predicate hasProposedRelation P24663 FINISHED
Object Mochica language E128096 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: Mochica language | Statement: [Puquina, hasProposedRelation, Mochica language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mochica language
Context triple: [Puquina, hasProposedRelation, Mochica language]
  • A. Mochica language chosen
    The Mochica language is an extinct pre-Columbian language once spoken on the northern coast of Peru, associated with the Moche (Mochica) civilization.
  • B. Sipakapense language
    The Sipakapense language is a Mayan language spoken by the Sipakapense people in the western highlands of Guatemala.
  • C. Secoya language
    The Secoya language is a Western Tucanoan language spoken by the Secoya people of the Amazonian regions of Ecuador and Peru.
  • D. Yaneshaʼ language
    Yaneshaʼ language is an Arawakan indigenous language spoken by the Yaneshaʼ people in the central Peruvian Amazon.
  • E. Piapoco language
    The Piapoco language is an indigenous Arawakan language spoken by the Piapoco people of Colombia and Venezuela.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df1ef148190af525532fcb0933b completed April 10, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684f4e1508190a6f023f1d1dc192e completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:28 p.m.