Triple

T11093569
Position Surface form Disambiguated ID Type / Status
Subject Sara languages E262315 entity
Predicate hasMember P10 FINISHED
Object Kenga language E262853 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: Kenga language | Statement: [Sara languages, hasMember, Kenga language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenga language
Context triple: [Sara languages, hasMember, Kenga language]
  • A. Kenga language chosen
    The Kenga language is a Central Sudanic language spoken primarily by the Kenga people in Chad.
  • B. Benga language
    The Benga language is a Bantu language of the Niger-Congo family traditionally spoken by the Benga people in coastal areas of Equatorial Guinea and nearby islands.
  • C. Matsigenka language
    The Matsigenka language is an Arawakan language spoken by the Matsigenka people of the Peruvian Amazon, known for its rich oral tradition and close relation to other Kampan Arawak languages.
  • D. Kwegu language
    The Kwegu language is a Surmic language spoken by the small Kwegu ethnic group living along the Omo River in southwestern Ethiopia.
  • E. Karanga language
    The Karanga language is a member of the Maban branch of the Nilo-Saharan language family, spoken by communities in the central African region.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799ed12d88190a4ad8c346d68f11f completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d69c8b4819092614e83e855430e completed April 19, 2026, 1:18 a.m.
Created at: April 8, 2026, 9:27 p.m.