Triple

T16680367
Position Surface form Disambiguated ID Type / Status
Subject Eldoret E405321 entity
Predicate hasEthnicCommunities P1898 FINISHED
Object Luhya E714917 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: Luhya | Statement: [Eldoret, hasEthnicCommunities, Luhya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luhya
Context triple: [Eldoret, hasEthnicCommunities, Luhya]
  • A. Luhya chosen
    The Luhya are a major Bantu-speaking ethnic group primarily inhabiting western Kenya, known for their rich cultural traditions and agricultural heritage.
  • B. Lugwere
    Lugwere is a Bantu language spoken primarily by the Bagwere people in eastern Uganda.
  • C. Kinyara
    Kinyara is a town in Uganda’s Masindi District, best known for its large sugar estate and associated agro-industrial activities.
  • D. Lunyole
    Lunyole is a Bantu language spoken in eastern Uganda, particularly associated with the Banyole people.
  • E. Nabulungi
    Nabulungi is a central character in the musical "The Book of Mormon," a hopeful and idealistic young Ugandan woman who becomes a key follower of the missionaries’ teachings.
  • 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_69e37d6e74ec81909ea95c3e4b0113ab 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.