Triple

T10248015
Position Surface form Disambiguated ID Type / Status
Subject Teke E240267 entity
Predicate hasAlternativeName P39 FINISHED
Object Teke language E240265 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: Teke language | Statement: [Teke, hasAlternativeName, Teke language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teke language
Context triple: [Teke, hasAlternativeName, Teke language]
  • A. Teke languages chosen
    The Teke languages are a group of closely related Bantu languages spoken primarily by the Teke people across parts of the Republic of the Congo, Gabon, and the Democratic Republic of the Congo.
  • B. Teke dialect
    The Teke dialect is a major variety of Turkmen that serves as the basis for the language’s modern standard form.
  • C. Teke-Eboo languages
    The Teke-Eboo languages are a subgroup of Bantu languages spoken primarily by Teke-related communities in Central Africa, especially in the Republic of the Congo and surrounding regions.
  • D. Jakaltek language
    The Jakaltek language is a Mayan language spoken primarily by the Jakaltek (Popti’) people of northwestern Guatemala and parts of southern Mexico.
  • E. Keka language
    Keka is an Austronesian language spoken on Rote Island in Indonesia, belonging to the Rote subgroup of languages.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d22e0d4c8190a6712859924e9d3d completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71cbd67648190ba7faebd12d96ca9 completed April 9, 2026, 3:27 a.m.
Created at: April 6, 2026, 11:27 a.m.