Triple

T21137148
Position Surface form Disambiguated ID Type / Status
Subject Lop Nur E520842 entity
Predicate locatedIn P40 FINISHED
Object southeastern Xinjiang NE NERFINISHED

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: southeastern Xinjiang | Statement: [Lop Nur, locatedIn, southeastern Xinjiang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: southeastern Xinjiang
Context triple: [Lop Nur, locatedIn, southeastern Xinjiang]
  • A. Xinjiang chosen
    Xinjiang is a vast, historically Silk Road–linked region in northwestern China known for its diverse ethnic groups, strategic location, and complex cultural and political history.
  • B. Turkistan Region
    Turkistan Region is an administrative region in southern Kazakhstan known for its historic Silk Road cities, including the spiritual center of Turkistan.
  • C. Xinjiangwancheng
    Xinjiangwancheng is a metro station in Shanghai that serves as one of the terminal stops on Line 10 of the Shanghai Metro system.
  • D. Turfan region
    The Turfan region is an oasis area in present-day Xinjiang, China, historically significant as a Silk Road crossroads and rich archaeological site of ancient Buddhist, Manichaean, and Nestorian cultures.
  • E. Yarkand
    Yarkand is an ancient oasis town and historical region in southwestern Xinjiang, China, that served as a key hub on the Silk Road.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50b53048190ae34e8abbe3c5ada completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7235b89188190a6209c0a1839ee03 completed April 21, 2026, 7:12 a.m.
Created at: April 16, 2026, 2:57 p.m.