Triple

T9099977
Position Surface form Disambiguated ID Type / Status
Subject Nogai E218126 entity
Predicate closelyRelatedTo P37 FINISHED
Object Karakalpak language E226246 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: Karakalpak language | Statement: [Nogai, closelyRelatedTo, Karakalpak language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karakalpak language
Context triple: [Nogai, closelyRelatedTo, Karakalpak language]
  • A. Karakalpak language chosen
    The Karakalpak language is a Turkic language spoken primarily by the Karakalpak people in Karakalpakstan, an autonomous republic within Uzbekistan.
  • B. Khinalug language
    The Khinalug language is a highly endangered Northeast Caucasian language spoken by the Khinalug people in a single mountain village in northern Azerbaijan.
  • C. Tajik language
    The Tajik language is a variety of Persian spoken primarily in Tajikistan and written in the Cyrillic script.
  • D. Turkmen language
    The Turkmen language is a Turkic language spoken primarily in Turkmenistan and surrounding regions, closely related to Turkish and other Oghuz languages.
  • E. Khwarezmian language
    The Khwarezmian language was an extinct East Iranian language once spoken in the historical region of Khwarezm, in present-day Central Asia.
  • 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_69ca83d9844081908e561e367fda6d45 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc9710ac04819096b9c8d3399b9c35 completed April 1, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0182d8ea08190b4337a77b47019a5 completed April 3, 2026, 7:42 p.m.
Created at: March 30, 2026, 7:15 p.m.