Triple

T6471250
Position Surface form Disambiguated ID Type / Status
Subject Kim E142356 entity
Predicate usedInCountry P715 FINISHED
Object Kazakhstan E9209 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: Kazakhstan | Statement: [Kim, usedInCountry, Kazakhstan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kazakhstan
Context triple: [Kim, usedInCountry, Kazakhstan]
  • A. Kazakhstan chosen
    Kazakhstan is a vast, landlocked country in Central Asia and Eastern Europe known for its rich natural resources, diverse ethnic makeup, and former status as a Soviet republic with its capital in Astana.
  • B. Saraikistan
    Saraikistan is a proposed cultural and administrative region in Pakistan envisioned as a separate province representing the Saraiki-speaking population of southern Punjab and surrounding areas.
  • C. Turkmenistan
    Turkmenistan is a landlocked Central Asian country rich in natural gas resources, known for its desert landscapes, authoritarian political system, and capital city Ashgabat.
  • D. Kyrgyzstan
    Kyrgyzstan is a landlocked Central Asian country known for its mountainous terrain, nomadic heritage, and status as a former Soviet republic.
  • E. Uzbekistan
    Uzbekistan is a landlocked Central Asian country known for its Silk Road heritage, including historic cities like Samarkand and Bukhara, and for being a major producer of cotton and natural gas.
  • 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_69c008d3bf4c8190bcf798c5ba9d6fb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06a2fd4248190a789bf0301e2860a completed March 22, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6539c93c481909bed35b68ce420d8 completed March 27, 2026, 9:53 a.m.
Created at: March 22, 2026, 4:50 p.m.