Triple

T5488212
Position Surface form Disambiguated ID Type / Status
Subject Turpan Depression E123637 entity
Predicate partOf P40 FINISHED
Object Turpan Prefecture E132166 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: Turpan Prefecture | Statement: [Turpan Depression, partOf, Turpan Prefecture]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turpan Prefecture
Context triple: [Turpan Depression, partOf, Turpan Prefecture]
  • A. Turpan chosen
    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.
  • B. 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.
  • C. Yining
    Yining is a city in the Ili Kazakh Autonomous Prefecture of far northwestern China, known for its diverse ethnic population and role as a regional trade and cultural center.
  • D. Tianshui
    Tianshui is a historic city in eastern Gansu Province, China, known as an important stop on the ancient Silk Road and for its nearby Maijishan Grottoes.
  • E. 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.
  • 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_69bd9264d014819097c83bb5c2bb8c39 completed March 20, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c884c0c8190b2f8345a5017c71f completed March 22, 2026, 4:14 a.m.
Created at: March 20, 2026, 2:10 p.m.