Triple

T2343627
Position Surface form Disambiguated ID Type / Status
Subject Khanate of Bukhara E45081 entity
Predicate majorCity P316 FINISHED
Object Karshi E114121 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: Karshi | Statement: [Khanate of Bukhara, majorCity, Karshi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karshi
Context triple: [Khanate of Bukhara, majorCity, Karshi]
  • A. Karshi chosen
    Karshi is a city in southern Uzbekistan known as an important regional center for industry, agriculture, and transportation.
  • B. Karaganda
    Karaganda is a large industrial city in central Kazakhstan known for its coal mining industry and Soviet-era history.
  • C. 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.
  • D. Qamishli
    Qamishli is a predominantly Kurdish city in northeastern Syria that serves as a key cultural and political hub for Kurmanji-speaking Kurds.
  • E. Nukus
    Nukus is the capital of the autonomous Republic of Karakalpakstan in western Uzbekistan, known for its remote desert location and the renowned Nukus Museum of Art.
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc6ae33e881909a81a0c0def59059 completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cce716c8190b87b117b270b9a84 completed March 9, 2026, 11:50 p.m.
Created at: March 4, 2026, 7:52 p.m.