Triple

T9542402
Position Surface form Disambiguated ID Type / Status
Subject Yomut E230189 entity
Predicate region P40 FINISHED
Object Khorezm E238042 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: Khorezm | Statement: [Yomut, region, Khorezm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khorezm
Context triple: [Yomut, region, Khorezm]
  • A. 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.
  • B. Khiva
    Khiva is an ancient oasis city in western Uzbekistan renowned for its well-preserved walled old town, Itchan Kala, a UNESCO World Heritage Site.
  • C. Khwarezm chosen
    Khwarezm is a historic region in Central Asia, centered around the lower Amu Darya river, that served as an important cultural and political hub for various Iranian and Turkic peoples over many centuries.
  • D. 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.
  • E. Kokand
    Kokand is a historic city in the Fergana Valley of present-day Uzbekistan that served as a major political, cultural, and trading center in 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_69ca847c70b8819088a0a0bad64a50d6 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98e82bb08190aed3ed0627923d22 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18211c1408190806823e93932c64c completed April 4, 2026, 9:26 p.m.
Created at: March 30, 2026, 8:01 p.m.