Triple

T4976211
Position Surface form Disambiguated ID Type / Status
Subject Judeo-Tajik E111770 entity
Predicate region P40 FINISHED
Object Samarkand E66141 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: Samarkand | Statement: [Judeo-Tajik, region, Samarkand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samarkand
Context triple: [Judeo-Tajik, region, Samarkand]
  • A. Samarkand chosen
    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. Shahrisabz
    Shahrisabz is a historic city in present-day Uzbekistan renowned as the birthplace of Timur (Tamerlane) and for its significant Timurid-era architectural monuments.
  • C. Bukhara, Uzbekistan
    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. Urgench
    Urgench is a city in western Uzbekistan that serves as the administrative center of Khorezm Region and a gateway to the historic city of Khiva.
  • 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_69bd441a0eb481908050fa4273b19eae completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7230086c81909c045614721bd89f completed March 20, 2026, 4:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be924befc08190a077adca99fb4b86 completed March 21, 2026, 12:42 p.m.
Created at: March 20, 2026, 1:33 p.m.