Triple

T21137150
Position Surface form Disambiguated ID Type / Status
Subject Lop Nur E520842 entity
Predicate partOf P40 FINISHED
Object Taklamakan region 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: Taklamakan region | Statement: [Lop Nur, partOf, Taklamakan region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taklamakan region
Context triple: [Lop Nur, partOf, Taklamakan region]
  • A. Tarim Basin
    The Tarim Basin is a large endorheic desert basin in northwest China’s Xinjiang region, historically a key crossroads of the Silk Road and home to diverse ancient cultures.
  • B. 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.
  • C. Yarkand
    Yarkand is an ancient oasis town and historical region in southwestern Xinjiang, China, that served as a key hub on the Silk Road.
  • D. Taklamakan Desert chosen
    The Taklamakan Desert is a vast, arid sand desert in China’s Xinjiang region, known for its extreme dryness, shifting dunes, and historical role along the Silk Road.
  • E. Turkistan Region
    Turkistan Region is an administrative region in southern Kazakhstan known for its historic Silk Road cities, including the spiritual center of Turkistan.
  • 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.