Triple

T10483257
Position Surface form Disambiguated ID Type / Status
Subject Pokot E247224 entity
Predicate hasAlternativeName P39 FINISHED
Object Pökot E247224 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: Pökot | Statement: [Pokot, hasAlternativeName, Pökot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pökot
Context triple: [Pokot, hasAlternativeName, Pökot]
  • A. Pökoot
    Pökoot is a Nilotic language spoken primarily by the Pokot people in Kenya and Uganda.
  • B. Bompoka
    Bompoka is a small, remote island that forms part of India’s Nicobar Islands archipelago in the eastern Indian Ocean.
  • C. Pokot chosen
    Pokot is a Southern Nilotic language spoken primarily by the Pokot people of Kenya and eastern Uganda.
  • D. Kökeqota
    Kökeqota is a historic city in what is now Hohhot, Inner Mongolia, that served as the principal political and administrative center of the Northern Yuan dynasty after the fall of the Yuan in China.
  • E. Pákozd
    Pákozd is a Hungarian village in Fejér County known for its proximity to Lake Velence and its historical significance, including an important 1848 revolutionary battle.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509678ac88190984f18a2162e2dcf completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b0d05a88190be036a6e4ab374a7 completed April 10, 2026, 7:10 p.m.
Created at: April 6, 2026, 12:22 p.m.