Triple

T19388581
Position Surface form Disambiguated ID Type / Status
Subject Kurgan Oblast E484998 entity
Predicate hasCity P316 FINISHED
Object Dalmatovo
Dalmatovo is a small town in Russia known for its historical roots in the Ural region and its role as a local administrative and cultural center.
 E1400781 NE FINISHED

How this triple was built (4 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: Dalmatovo | Statement: [Kurgan Oblast, hasCity, Dalmatovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dalmatovo
Context triple: [Kurgan Oblast, hasCity, Dalmatovo]
  • A. Odintsovo
    Odintsovo is a town in western Russia that serves as an important suburban center just outside Moscow.
  • B. Kuibyshev
    Kuibyshev is the former Soviet name of the Russian city now known as Samara, a major industrial and administrative center on the Volga River.
  • C. Novozybkov
    Novozybkov is a town in western Russia known as a local administrative and economic center near the borders with Belarus and Ukraine.
  • D. Pervouralsk
    Pervouralsk is an industrial city in Russia’s Ural region, known for its metallurgical plants and location near the geographic border between Europe and Asia.
  • E. Volokolamskaya
    Volokolamskaya is a Moscow Metro station on the Arbatsko–Pokrovskaya Line serving the northwestern part of the city.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dalmatovo
Triple: [Kurgan Oblast, hasCity, Dalmatovo]
Generated description
Dalmatovo is a small town in Russia known for its historical roots in the Ural region and its role as a local administrative and cultural center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dalmatovo
Target entity description: Dalmatovo is a small town in Russia known for its historical roots in the Ural region and its role as a local administrative and cultural center.
  • A. Odintsovo
    Odintsovo is a town in western Russia that serves as an important suburban center just outside Moscow.
  • B. Kuibyshev
    Kuibyshev is the former Soviet name of the Russian city now known as Samara, a major industrial and administrative center on the Volga River.
  • C. Novozybkov
    Novozybkov is a town in western Russia known as a local administrative and economic center near the borders with Belarus and Ukraine.
  • D. Pervouralsk
    Pervouralsk is an industrial city in Russia’s Ural region, known for its metallurgical plants and location near the geographic border between Europe and Asia.
  • E. Volokolamskaya
    Volokolamskaya is a Moscow Metro station on the Arbatsko–Pokrovskaya Line serving the northwestern part of the city.
  • F. None of above. chosen

Provenance (5 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61b425e848190ab5ae8ae0a034fe2 completed April 20, 2026, 12:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ea287a948190a7578138ceb9724f completed May 16, 2026, 3:53 a.m.
NEDg Description generation batch_6a07ecacb44881908074a946cdd78283 completed May 16, 2026, 4:03 a.m.
NED2 Entity disambiguation (via description) batch_6a07ed0b0b208190ba0fc7bae7c2652e completed May 16, 2026, 4:05 a.m.
Created at: April 10, 2026, 1:36 p.m.