Triple

T13040834
Position Surface form Disambiguated ID Type / Status
Subject Golestan Province E327185 entity
Predicate hasEthnicGroup P1898 FINISHED
Object Kazakh E50749 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: Kazakh | Statement: [Golestan Province, hasEthnicGroup, Kazakh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kazakh
Context triple: [Golestan Province, hasEthnicGroup, Kazakh]
  • A. Kazakh language
    The Kazakh language is a Turkic language spoken primarily in Kazakhstan and surrounding regions, written today mainly in Cyrillic but also in Latin and Arabic scripts.
  • B. Kazakhs chosen
    Kazakhs are a Turkic ethnic group native to the Central Asian steppe, known for their nomadic heritage, distinct language, and cultural traditions centered in modern-day Kazakhstan.
  • C. Kyrgyz
    Kyrgyz is a Turkic language primarily spoken in Kyrgyzstan and surrounding regions of Central Asia.
  • D. Tuvan
    Tuvan is a Turkic language spoken primarily in the Tuva Republic of Russia, known for its rich oral traditions and association with Tuvan throat singing.
  • E. Turkmen language
    The Turkmen language is a Turkic language spoken primarily in Turkmenistan and surrounding regions, closely related to Turkish and other Oghuz languages.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d9804d8e3081909584c93df099859a completed April 10, 2026, 10:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbd5139c8190aaec6487f074f251 completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:56 p.m.