Triple

T13492850
Position Surface form Disambiguated ID Type / Status
Subject Margilan E320679 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: [Margilan, locatedIn, Fergana Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fergana Region
Context triple: [Margilan, 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. Jizzakh Region
    Jizzakh Region is an administrative region in central Uzbekistan known for its agricultural production and location along key transport routes between Tashkent and Samarkand.
  • E. 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.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf4c66008190b287e0551889d7c8 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7a835ea448190a5ddaf8479e0b36c completed May 3, 2026, 7:55 p.m.
Created at: April 9, 2026, 9:43 p.m.