Triple

T3723555
Position Surface form Disambiguated ID Type / Status
Subject Tashkent E81695 entity
Predicate historicalRegion P915 FINISHED
Object Turkestan E333302 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: Turkestan | Statement: [Tashkent, historicalRegion, Turkestan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turkestan
Context triple: [Tashkent, historicalRegion, Turkestan]
  • A. Turkestan chosen
    Turkestan is a historical region in Central Asia traditionally inhabited by various Turkic peoples and spanning parts of modern-day China, Kazakhstan, Kyrgyzstan, Uzbekistan, Turkmenistan, and neighboring areas.
  • B. Karakalpakstan
    Karakalpakstan is an autonomous republic in northwestern Uzbekistan, known for its location around the shrinking Aral Sea and the lower reaches of the Amu Darya River.
  • C. Karakalpak
    Karakalpak is a Turkic language spoken primarily by the Karakalpak people in northwestern Uzbekistan and surrounding regions.
  • D. Khwarezm
    Khwarezm is a historic region in Central Asia, centered around the lower Amu Darya river, that served as an important cultural and political hub for various Iranian and Turkic peoples over many centuries.
  • E. Sirdaryo
    Sirdaryo is the Uzbek name for the Syr Darya, a major river in Central Asia that flows through countries such as Uzbekistan, Tajikistan, and Kazakhstan.
  • 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_69ad8b1b7ef081908d2d381bbf54985a completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcaf3f2ec8190a3a8f363cfb762f3 completed March 8, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb074a9881909afec640a5a208c6 completed March 14, 2026, 6:07 a.m.
Created at: March 8, 2026, 3:34 p.m.