Triple

T6812286
Position Surface form Disambiguated ID Type / Status
Subject Anii language E156661 entity
Predicate hasNeighborLanguage P16383 FINISHED
Object Kabiye E209614 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: Kabiye | Statement: [Anii language, hasNeighborLanguage, Kabiye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kabiye
Context triple: [Anii language, hasNeighborLanguage, Kabiye]
  • A. Kabiye chosen
    Kabiye is a Gur language spoken primarily in northern Togo and recognized as one of the country's major national languages.
  • B. Kabale
    Kabale is a town in southwestern Uganda that serves as a key regional center and gateway to nearby attractions such as Bwindi Impenetrable National Park.
  • C. Kandia
    Kandia is a remote valley and settlement area located within Pakistan’s Kohistan mountain ranges, known for its rugged terrain and isolated communities.
  • D. Laabi
    Laabi is a small village located in Harku Parish in northern Estonia.
  • E. Adikabi
    Adikabi is an honorific title in Odia literature meaning "first poet," traditionally bestowed on the 15th-century poet Sarala Das.
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d329861881909f65bd1017ea384b completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723d775a48190bfdf5b6a52339833 completed March 28, 2026, 12:41 a.m.
Created at: March 27, 2026, 2:17 p.m.