Triple

T5369697
Position Surface form Disambiguated ID Type / Status
Subject Khiva E108815 entity
Predicate locatedIn P40 FINISHED
Object western Uzbekistan E484990 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: western Uzbekistan | Statement: [Khiva, locatedIn, western Uzbekistan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: western Uzbekistan
Context triple: [Khiva, locatedIn, western Uzbekistan]
  • A. western Uzbekistan chosen
    Western Uzbekistan is a sparsely populated, largely desert region of Uzbekistan that includes the autonomous Republic of Karakalpakstan and the area around the Aral Sea.
  • B. eastern Uzbekistan
    Eastern Uzbekistan is a region of Uzbekistan encompassing the fertile Fergana Valley and surrounding areas near the borders with Kyrgyzstan and Tajikistan.
  • C. southern Uzbekistan
    Southern Uzbekistan is a predominantly arid, agricultural region of Uzbekistan known for its steppe landscapes, cotton production, and cities such as Karshi and Termez near the Afghan border.
  • D. Khorezm Region
    Khorezm Region is an administrative region in northwestern Uzbekistan, historically part of the ancient Khwarezm civilization and centered around the city of Urgench.
  • E. Bukhara Region
    Bukhara Region is an administrative region in southwestern Uzbekistan known for its historic Silk Road city of Bukhara and its vast expanses of the Kyzylkum Desert.
  • 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_69bd440c77948190aad2a5f39b7b80f5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd86873e0c8190bf5ecede2cc2bd8b completed March 20, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf292c4d1c819088f7b977ac212688 completed March 21, 2026, 11:26 p.m.
Created at: March 20, 2026, 2:02 p.m.