Triple

T10490602
Position Surface form Disambiguated ID Type / Status
Subject Kalenjin languages E247407 entity
Predicate hasMember P10 FINISHED
Object Tugen language E865565 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: Tugen language | Statement: [Kalenjin languages, hasMember, Tugen language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tugen language
Context triple: [Kalenjin languages, hasMember, Tugen language]
  • A. Tugen language chosen
    The Tugen language is a Southern Nilotic language spoken by the Tugen people of Kenya’s Rift Valley, closely associated with other Kalenjin languages.
  • B. Toundanow language
    The Toundanow language is an Austronesian language spoken by the Tonsawang people of northern Sulawesi, Indonesia.
  • C. Towa language
    Towa is a Native American language spoken by the Towa (Jemez) people of New Mexico and is part of the Puebloan language family.
  • D. Tawbuid language
    The Tawbuid language is an Austronesian language spoken by the Tawbuid (Batangan) Mangyan people of Mindoro in the Philippines, closely related to other South Mangyan languages.
  • E. Lo-Toga language
    The Lo-Toga language is an Oceanic language spoken on the Torres Islands of northern Vanuatu, closely related to the neighboring Hiw language and known for its highly conservative phonology and grammar.
  • 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_69d94b0d05a88190be036a6e4ab374a7 completed April 10, 2026, 7:10 p.m.
Created at: April 6, 2026, 12:23 p.m.