Triple

T16951103
Position Surface form Disambiguated ID Type / Status
Subject Quichean–Mamean E411180 entity
Predicate includesLanguage P2177 FINISHED
Object Akatek language E611837 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: Akatek language | Statement: [Quichean–Mamean, includesLanguage, Akatek language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akatek language
Context triple: [Quichean–Mamean, includesLanguage, Akatek language]
  • A. Akatek language chosen
    The Akatek language is a Mayan language spoken primarily in northwestern Guatemala and parts of Mexico, known for its complex verb morphology and rich indigenous cultural heritage.
  • B. Ixcatec language
    The Ixcatec language is a highly endangered indigenous Oto-Manguean language spoken by a small community in Oaxaca, Mexico.
  • C. Huastec language
    The Huastec language is a Mayan language spoken by the Huastec people primarily in the northeastern region of Mexico.
  • D. Cuicatec language
    The Cuicatec language is an indigenous Oto-Manguean language of Mexico spoken primarily in northern Oaxaca.
  • E. Totela language
    The Totela language is a Bantu language of southern Africa spoken by the Totela people, closely related to other Tonga varieties in the region.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cfb6e5fc8190b1bd3ad1c2773685 completed April 18, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d46213b08190b33b48d12bc795d1 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:31 a.m.