Triple

T16955849
Position Surface form Disambiguated ID Type / Status
Subject Nuh II E411298 entity
Predicate deathPlace P21 FINISHED
Object Bukhara E59496 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: Bukhara | Statement: [Nuh II, deathPlace, Bukhara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bukhara
Context triple: [Nuh II, deathPlace, Bukhara]
  • A. 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.
  • B. Kokand
    Kokand is a historic city in the Fergana Valley of present-day Uzbekistan that served as a major political, cultural, and trading center in Central Asia.
  • C. Bukhara, Uzbekistan chosen
    Bukhara, Uzbekistan is an ancient Silk Road city renowned for its well-preserved Islamic architecture and historic center, a UNESCO World Heritage Site.
  • D. 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.
  • E. Khujand
    Khujand is one of the oldest cities in Central Asia, a major urban center in northern Tajikistan known historically as a Silk Road hub on the Syr Darya River.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d01bb700819082a441c124be3cb6 completed April 18, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dbfb781881908f4d56f523e78f7a completed May 10, 2026, 7:26 p.m.
Created at: April 10, 2026, 5:31 a.m.