Triple

T5488399
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Khotan E123640 entity
Predicate modernNameOfRegion P25757 FINISHED
Object Hotan City E128870 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: Hotan City | Statement: [Kingdom of Khotan, modernNameOfRegion, Hotan City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hotan City
Context triple: [Kingdom of Khotan, modernNameOfRegion, Hotan City]
  • A. Hotan chosen
    Hotan is an oasis city in southwestern Xinjiang, China, historically known as a key Silk Road hub famed for its jade, silk, and carpets.
  • B. Quchan
    Quchan is a historic city in northeastern Iran known for its strategic location along trade routes and its role as a regional center in the Khorasan area.
  • C. Kashgar
    Kashgar is an ancient oasis city in western China’s Xinjiang region that long served as a key cultural and commercial crossroads between East and West.
  • D. Karamay
    Karamay is an oil-rich industrial city in northwestern China known for its major petroleum fields and role in the energy industry of Xinjiang.
  • E. Turpan
    Turpan is an oasis city and depression in China’s Xinjiang region, historically a key Silk Road hub known for its extreme heat, ancient irrigation systems, and grape cultivation.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd964685c08190bbed5f8848a2dcc1 completed March 20, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf8bc7fd6481908ec09b2ef68addba completed March 22, 2026, 6:27 a.m.
Created at: March 20, 2026, 2:10 p.m.