Triple

T16680372
Position Surface form Disambiguated ID Type / Status
Subject Eldoret E405321 entity
Predicate languageUsed P238 FINISHED
Object Kalenjin languages E247407 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: Kalenjin languages | Statement: [Eldoret, languageUsed, Kalenjin languages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalenjin languages
Context triple: [Eldoret, languageUsed, Kalenjin languages]
  • A. Kalenjin languages chosen
    Kalenjin languages are a group of closely related Southern Nilotic languages spoken primarily by the Kalenjin people of Kenya and neighboring regions of East Africa.
  • B. Karluk languages
    Karluk languages are a subgroup of the Turkic language family that includes major Central Asian languages such as Uzbek and Uyghur.
  • C. Kamuku languages
    The Kamuku languages are a small group of closely related Benue–Congo languages spoken primarily by the Kamuku people of northwestern Nigeria.
  • D. Chaga languages
    The Chaga languages are a group of closely related Bantu languages spoken primarily by the Chaga people on the slopes of Mount Kilimanjaro in northern Tanzania.
  • E. Yakutic languages
    The Yakutic languages are a small branch of the Turkic language family spoken primarily in northeastern Siberia, most notably including the Sakha (Yakut) language.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d6f5cf481909e7628bbaa884e5a completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a3e2ddc8190a59108cdf001dac2 completed May 10, 2026, 1:38 p.m.
Created at: April 10, 2026, 5:19 a.m.