Triple

T11792151
Position Surface form Disambiguated ID Type / Status
Subject East Central Sudanic languages E280413 entity
Predicate hasMember P10 FINISHED
Object Keliko language E262850 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: Keliko language | Statement: [East Central Sudanic languages, hasMember, Keliko language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keliko language
Context triple: [East Central Sudanic languages, hasMember, Keliko language]
  • A. Keliko language chosen
    The Keliko language is a Central Sudanic language spoken primarily by the Keliko people of South Sudan and the Democratic Republic of the Congo.
  • B. Kayeli language
    The Kayeli language is an Austronesian language once spoken on Buru Island in Indonesia, now critically endangered or possibly extinct.
  • C. Jakaltek language
    The Jakaltek language is a Mayan language spoken primarily by the Jakaltek (Popti’) people of northwestern Guatemala and parts of southern Mexico.
  • D. Kioko language
    The Kioko language is an Austronesian language of the Muna–Buton subgroup spoken by a small community in southeastern Sulawesi, Indonesia.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a588d2c881909783c2d678c2a474 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f09107fd2481908d765d2188035012 completed April 28, 2026, 10:50 a.m.
Created at: April 8, 2026, 9:42 p.m.