Triple

T21287621
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Kashgar E524702 entity
Predicate locatedIn P40 FINISHED
Object Kashgar Oasis 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: Kashgar Oasis | Statement: [Kingdom of Kashgar, locatedIn, Kashgar Oasis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kashgar Oasis
Context triple: [Kingdom of Kashgar, locatedIn, Kashgar Oasis]
  • A. 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.
  • B. Bukhara Oasis
    Bukhara Oasis is a fertile, historically significant area in Central Asia that has long served as a cultural and commercial hub along the Silk Road.
  • C. Yarkand chosen
    Yarkand is an ancient oasis town and historical region in southwestern Xinjiang, China, that served as a key hub on the Silk Road.
  • D. 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.
  • E. Turkistan
    Turkistan is a historic city in southern Kazakhstan renowned as a major center of Islamic culture and pilgrimage in Central Asia.
  • 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d7c57c8190bc4180ea590a62d4 completed April 21, 2026, 8:35 a.m.
Created at: April 16, 2026, 4:03 p.m.