Triple

T16024784
Position Surface form Disambiguated ID Type / Status
Subject Kʼicheʼ language E388689 entity
Predicate closelyRelatedTo P37 FINISHED
Object Uspantek language E602971 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: Uspantek language | Statement: [Kʼicheʼ language, closelyRelatedTo, Uspantek language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uspantek language
Context triple: [Kʼicheʼ language, closelyRelatedTo, Uspantek language]
  • A. Uspantek language chosen
    The Uspantek language is a Mayan language spoken by the Uspanteko people of Guatemala, notable for its endangered status and efforts toward revitalization and preservation.
  • B. Umpila language
    The Umpila language is an Indigenous Australian language traditionally spoken by the Umpila people of eastern Cape York Peninsula in Queensland.
  • C. Curripaco language
    The Curripaco language is an Arawakan language spoken by the Curripaco people of the Northwest Amazon region in Brazil, Colombia, and Venezuela.
  • D. Anuki language
    The Anuki language is an Oceanic language spoken by a small coastal community in Papua New Guinea’s Milne Bay Province.
  • E. Teke-Kega language
    The Teke-Kega language is a Bantu language spoken by the Teke people of Central Africa, primarily in the Republic of the Congo and surrounding regions.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183258c708190acf1588c7ccb254c completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf31c8d8819096c562ba1453f3c0 completed May 10, 2026, 12:20 a.m.
Created at: April 10, 2026, 4:55 a.m.