Triple

T17093214
Position Surface form Disambiguated ID Type / Status
Subject Nzérékoré Region E414774 entity
Predicate hasEthnicGroup P1898 FINISHED
Object Kissi E414777 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: Kissi | Statement: [Nzérékoré Region, hasEthnicGroup, Kissi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kissi
Context triple: [Nzérékoré Region, hasEthnicGroup, Kissi]
  • A. Kissi chosen
    Kissi is a West African language spoken primarily by the Kissi people in parts of Guinea, Sierra Leone, and Liberia.
  • B. Kutton
    Kutton is a scenic mountain village and popular tourist spot in Pakistan-administered Azad Kashmir, known for its lush green landscapes, waterfalls, and cool climate.
  • C. Kisaan
    Kisaan is an alternative name for the Kisan language, an indigenous Munda language spoken primarily by the Kisan people in parts of eastern India.
  • D. Kittin
    Kittin is a French DJ, producer, and singer known for her influential role in the electroclash and techno scenes.
  • E. Kunes
    Kunes is a small village in northern Norway, located within Lebesby Municipality in Troms og Finnmark county.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbfb89348190942984037bd3bd2e completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012eec0d5c8190806e756aae848ba2 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:35 a.m.