Triple

T8809281
Position Surface form Disambiguated ID Type / Status
Subject Kabiye E209614 entity
Predicate altName P39 FINISHED
Object Kabiyè 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: Kabiyè | Statement: [Kabiye, altName, Kabiyè]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kabiyè
Context triple: [Kabiye, altName, Kabiyè]
  • 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. Kandia
    Kandia is a remote valley and settlement area located within Pakistan’s Kohistan mountain ranges, known for its rugged terrain and isolated communities.
  • C. Kalabahi
    Kalabahi is the main town and administrative center on Alor Island in Indonesia’s East Nusa Tenggara province.
  • D. Kabaena
    Kabaena is an island in Indonesia known for its location off the coast of Sulawesi and its mix of coastal and hilly landscapes.
  • E. Kaben
    Kaben is one of the islands that make up Maloelap Atoll in the Marshall Islands, a Pacific island nation.
  • 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_69ca8363f3308190a47e3f1ebd51f613 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fd4cbec8190a929d4e60da8ad65 completed March 31, 2026, 11:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6fa0e4308190bd01c2d107c8c02d completed April 3, 2026, 7:43 a.m.
Created at: March 30, 2026, 6:45 p.m.