Triple

T13809140
Position Surface form Disambiguated ID Type / Status
Subject Bunia E331837 entity
Predicate hasEthnicGroups P12220 FINISHED
Object Lendu E905404 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: Lendu | Statement: [Bunia, hasEthnicGroups, Lendu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lendu
Context triple: [Bunia, hasEthnicGroups, Lendu]
  • A. Lendu-Bale chosen
    Lendu-Bale is an alternative name for the Lendu language, a Central Sudanic language spoken primarily in the northeastern Democratic Republic of the Congo.
  • B. Lunyole
    Lunyole is a Bantu language spoken in eastern Uganda, particularly associated with the Banyole people.
  • C. Makoma
    "Makoma" is a popular Afrobeats and highlife-influenced song by Ghanaian music duo R2Bees.
  • D. Obalende
    Obalende is a densely populated neighborhood on Lagos Island in Lagos, Nigeria, known as a major transport hub and gateway to central Lagos.
  • E. Kinyara
    Kinyara is a town in Uganda’s Masindi District, best known for its large sugar estate and associated agro-industrial activities.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026eae8481908b8880635e6a9152 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b08fbc348190a199c5d92e0e46be completed May 3, 2026, 8:31 p.m.
Created at: April 9, 2026, 10:12 p.m.