Triple

T2458582
Position Surface form Disambiguated ID Type / Status
Subject Buzkashi E54478 entity
Predicate hasAlternativeName P39 FINISHED
Object kok-boru E84249 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: kok-boru | Statement: [Buzkashi, hasAlternativeName, kok-boru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: kok-boru
Context triple: [Buzkashi, hasAlternativeName, kok-boru]
  • A. Kok-boru chosen
    Kok-boru is a traditional Central Asian horseback team game, similar to polo, in which riders compete to carry and score with a goat or sheep carcass.
  • B. k_B
    k_B is the conventional symbol used to denote the Boltzmann constant, a fundamental physical constant that relates temperature to energy at the particle level.
  • C. SKBO
    SKBO is the ICAO airport code for El Dorado International Airport, the main international gateway serving Bogotá, Colombia.
  • D. BKR
    BKR was the abbreviated name of the People's Security Agency, an early post-World War II Indonesian security and defense organization.
  • E. Kubban
    Kubban is an ancient Egyptian locality known as the cult center of the regional form of the god Horus, referred to as Horus of Kubban.
  • 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd10a35f88190b102a2cb5c88146e completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0cd7adc8190b855eb28285fefc5 completed March 9, 2026, 4:09 p.m.
Created at: March 6, 2026, 9:44 p.m.