Triple

T1023010
Position Surface form Disambiguated ID Type / Status
Subject Tarim Basin E22080 entity
Predicate contains P35 FINISHED
Object Kashgar E89243 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: Kashgar | Statement: [Tarim Basin, contains, Kashgar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kashgar
Context triple: [Tarim Basin, contains, Kashgar]
  • A. Kashgar chosen
    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.
  • B. Andijan
    Andijan is a historic city in eastern Uzbekistan, known as a major cultural and economic center of the Fergana Valley and as the birthplace of the Mughal emperor Babur.
  • C. Gwadar
    Gwadar is a strategic deep-sea port city in southwestern Pakistan that serves as a key maritime hub on the Arabian Sea and a central component of the China–Pakistan Economic Corridor.
  • D. Tashkent
    Tashkent is the capital and largest city of Uzbekistan, a major cultural and economic hub in Central Asia with deep historical ties to the Islamic world.
  • E. Samarkand
    Samarkand is an ancient Silk Road city in present-day Uzbekistan renowned for its Timurid-era Islamic architecture and role as a major cultural and commercial center of Central Asia.
  • 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_69a493d6e380819097b384986ffc315c completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7e0f8908190bfe0a4cd8b31dfed completed March 1, 2026, 10:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c12604c8190b3ce04c96b0000f1 completed March 7, 2026, 4:02 p.m.
Created at: March 1, 2026, 7:41 p.m.