Triple

T5407689
Position Surface form Disambiguated ID Type / Status
Subject Republic of Dagestan E120932 entity
Predicate hasCity P316 FINISHED
Object Buynaksk E122817 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: Buynaksk | Statement: [Republic of Dagestan, hasCity, Buynaksk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buynaksk
Context triple: [Republic of Dagestan, hasCity, Buynaksk]
  • A. Buynaksk chosen
    Buynaksk is a significant urban center in the Republic of Dagestan in southern Russia, known for its strategic location in the North Caucasus region.
  • B. Dashoguz
    Dashoguz is a prominent city in northern Turkmenistan, serving as a regional administrative and economic center near the border with Uzbekistan.
  • C. Yoshkar-Ola
    Yoshkar-Ola is a city in central Russia that serves as the administrative, cultural, and economic center of the Mari El Republic.
  • D. Panjikent
    Panjikent was an important ancient Sogdian city in present-day Tajikistan, known for its well-preserved wall paintings and role as a Silk Road trading center.
  • 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_69bd46391c0c81909fa484446732b6a3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8793ab3c81909992b257d462a554 completed March 20, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf411f8f3c81908ca8578a388261c6 completed March 22, 2026, 1:08 a.m.
Created at: March 20, 2026, 2:05 p.m.