Triple

T10490605
Position Surface form Disambiguated ID Type / Status
Subject Kalenjin languages E247407 entity
Predicate hasMember P10 FINISHED
Object Pokot language E810852 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: Pokot language | Statement: [Kalenjin languages, hasMember, Pokot language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pokot language
Context triple: [Kalenjin languages, hasMember, Pokot language]
  • A. Pokot language chosen
    The Pokot language is a Southern Nilotic language spoken by the Pokot people of Kenya and Uganda.
  • B. Potohari language
    The Potohari language is an Indo-Aryan language spoken primarily in Pakistan’s Potohar Plateau and surrounding regions, closely related to Punjabi and used in various local dialects.
  • C. Pokomo language
    The Pokomo language is a Bantu language spoken primarily by the Pokomo people along Kenya’s Tana River.
  • D. Opata language
    The Opata language is an extinct Uto-Aztecan language once spoken by the Opata people of northern Mexico, particularly in the present-day state of Sonora.
  • E. Poqomam language
    The Poqomam language is a Mayan language spoken primarily in Guatemala by the Poqomam people, recognized as part of the country’s indigenous linguistic heritage.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097d61e08190952d4354ef1bce52 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d933c5caa08190a5fba92ebf4b0ff9 completed April 10, 2026, 5:30 p.m.
Created at: April 6, 2026, 12:23 p.m.