Triple

T2961557
Position Surface form Disambiguated ID Type / Status
Subject Popoluca E80060 entity
Predicate subfamily P4180 FINISHED
Object Mixe languages E193683 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: Mixe languages | Statement: [Popoluca, subfamily, Mixe languages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mixe languages
Context triple: [Popoluca, subfamily, Mixe languages]
  • A. Mixe languages chosen
    Mixe languages are a group of related indigenous Mesoamerican languages spoken primarily by the Mixe people in the highlands of Oaxaca, Mexico.
  • B. Mishing language
    Mishing language is a Tani (Tibeto-Burman) language spoken by the Mishing people, primarily in the northeastern Indian state of Assam.
  • C. Maipurean languages
    The Maipurean languages are a major branch of the Arawakan language family, historically spoken across large areas of northern South America and the Caribbean.
  • D. Plateau languages
    Plateau languages are a diverse group of Benue–Congo languages spoken primarily in central Nigeria, known for their significant linguistic variation and complex noun class systems.
  • E. Mon language
    Mon language is an Austroasiatic language historically spoken in parts of Myanmar and Thailand, notable for its ancient literary tradition and influence on regional scripts and cultures.
  • 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_69ad8b1341848190bd19dbf46892887d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad995454448190834aa5d47a4ed5ac completed March 8, 2026, 3:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc959b3c8190a0d95a3e616246f9 completed March 11, 2026, 5:24 a.m.
Created at: March 8, 2026, 2:57 p.m.