Triple

T12833066
Position Surface form Disambiguated ID Type / Status
Subject Tuva Republic E306835 entity
Predicate seatOfGovernment P761 FINISHED
Object Kyzyl E1004761 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: Kyzyl | Statement: [Tuva Republic, seatOfGovernment, Kyzyl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyzyl
Context triple: [Tuva Republic, seatOfGovernment, Kyzyl]
  • A. Kyzyl chosen
    Kyzyl is a city in southern Siberia, Russia, known for its location near the geographic center of Asia and its role as the cultural and administrative hub of the Tuva region.
  • B. Cholpon-Ata
    Cholpon-Ata is a popular resort town on the northern shore of Lake Issyk-Kul in Kyrgyzstan, known for its beaches, mountain scenery, and archaeological sites.
  • C. Touqan
    Touqan is a family name of notable Palestinian origin, associated with prominent poets, politicians, and intellectuals in the Arab world.
  • D. Zhetysu
    Zhetysu is a historic region of Central Asia, largely in southeastern Kazakhstan, known for its fertile river valleys, including that of the Ili River, and its role as a crossroads on the Silk Road.
  • E. Kapchagay
    Kapchagay is a town in southeastern Kazakhstan known for its large reservoir on the Ili River and its role as a regional recreation and tourism center.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96fb0bb208190bdc4d3dc7909be06 completed April 10, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b9bb0b48190ba3f9f92d270db83 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:34 p.m.