Triple

T14168820
Position Surface form Disambiguated ID Type / Status
Subject Kamberi E351149 entity
Predicate languageFamily P1047 FINISHED
Object Kainji languages E961495 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: Kainji languages | Statement: [Kamberi, languageFamily, Kainji languages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kainji languages
Context triple: [Kamberi, languageFamily, Kainji languages]
  • A. Kainji languages chosen
    Kainji languages are a group of Benue–Congo languages spoken primarily in northwestern and central Nigeria.
  • B. Edekiri languages
    Edekiri languages are a subgroup of the Niger-Congo language family spoken primarily in southwestern Nigeria and neighboring regions, closely related to Yoruba and other Defoid languages.
  • C. Laiyolo–Kaili languages
    The Laiyolo–Kaili languages are a subgroup of Austronesian languages spoken in Sulawesi, Indonesia, known for their shared linguistic features within the broader Celebic branch.
  • D. Ndowe languages
    The Ndowe languages are a group of Bantu languages spoken by coastal communities in Equatorial Guinea and neighboring regions of Central Africa.
  • E. Bongo–Baka languages
    The Bongo–Baka languages are a subgroup of Central Sudanic languages spoken primarily in parts of South Sudan and neighboring regions.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b472288190b4a271daa54aa6cd completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd193dbbcc819082043d92c174164c completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1 a.m.