Triple

T10327108
Position Surface form Disambiguated ID Type / Status
Subject Kokand E242787 entity
Predicate locatedIn P40 FINISHED
Object Fergana Region E489600 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: Fergana Region | Statement: [Kokand, locatedIn, Fergana Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fergana Region
Context triple: [Kokand, locatedIn, Fergana Region]
  • A. Fergana Region chosen
    Fergana Region is an administrative region in eastern Uzbekistan known for its fertile Fergana Valley, dense population, and significant agricultural and industrial output.
  • B. Andijan Region
    Andijan Region is an administrative region in eastern Uzbekistan known for its dense population, fertile Fergana Valley agriculture, and the city of Andijan as its capital.
  • C. 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.
  • D. Surxondaryo Region
    Surxondaryo Region is a southern region of Uzbekistan known for its warm climate, agricultural production, and the border city of Termez on the Afghan frontier.
  • E. Qashqadaryo Region
    Qashqadaryo Region is an administrative region in southern Uzbekistan known for its historic cities, including Shahrisabz, and its role as an important agricultural and energy-producing area.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7ce69b881909f27d97c90643634 completed April 7, 2026, 10:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc02ddc481908ab0ea2d1da04dc3 completed April 10, 2026, 11:16 a.m.
Created at: April 6, 2026, 11:51 a.m.