Triple

T3361617
Position Surface form Disambiguated ID Type / Status
Subject Umar Sheikh Mirza II E70733 entity
Predicate territory P2160 FINISHED
Object Fergana E82439 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 | Statement: [Umar Sheikh Mirza II, territory, Fergana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fergana
Context triple: [Umar Sheikh Mirza II, territory, Fergana]
  • A. Fergana
    Fergana is a major city in eastern Uzbekistan, known as an administrative, cultural, and industrial center of the fertile Fergana Valley.
  • B. Ferghana Valley chosen
    The Ferghana Valley is a fertile and densely populated intermountain basin in Central Asia, shared mainly by Uzbekistan, Kyrgyzstan, and Tajikistan, and known as a historic crossroads of trade and culture.
  • C. Sirdaryo
    Sirdaryo is the Uzbek name for the Syr Darya, a major river in Central Asia that flows through countries such as Uzbekistan, Tajikistan, and Kazakhstan.
  • D. Yaghnobi
    Yaghnobi is an Eastern Iranian language spoken by the Yaghnobi people of Tajikistan, considered a direct descendant of ancient Sogdian.
  • E. Karakalpak
    Karakalpak is a Turkic language spoken primarily by the Karakalpak people in northwestern Uzbekistan and surrounding regions.
  • 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_69ad85a660c48190998489309a3b4869 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb26906948190851a7b7d543a4d64 completed March 8, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3545ea1b08190ad84b7e5f70b4d2e completed March 13, 2026, 12:03 a.m.
Created at: March 8, 2026, 3:13 p.m.