Triple

T19388583
Position Surface form Disambiguated ID Type / Status
Subject Kurgan Oblast E484998 entity
Predicate hasCity P316 FINISHED
Object Petukhovo
Petukhovo is a small town in Kurgan Oblast, Russia, known as a local administrative and transport center near the border with Kazakhstan.
E1428560 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: Petukhovo | Statement: [Kurgan Oblast, hasCity, Petukhovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petukhovo
Context triple: [Kurgan Oblast, hasCity, Petukhovo]
  • A. Ivangorod
    Ivangorod is a Russian border town on the Narva River, known for its medieval fortress facing the Estonian city of Narva.
  • B. Volokolamsk
    Volokolamsk is a historic town in western Russia, located northwest of Moscow and known for its medieval origins and role in regional trade and defense.
  • C. Pereiaslavl
    Pereiaslavl was one of the principal urban centers of Kyivan Rus, serving as an important political, military, and cultural hub in medieval Eastern Europe.
  • D. Klushino
    Klushino is a rural village in western Russia best known as the birthplace of cosmonaut Yuri Gagarin.
  • E. 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.
  • 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: Petukhovo
Triple: [Kurgan Oblast, hasCity, Petukhovo]
Generated description
Petukhovo is a small town in Kurgan Oblast, Russia, known as a local administrative and transport center near the border with Kazakhstan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Petukhovo
Target entity description: Petukhovo is a small town in Kurgan Oblast, Russia, known as a local administrative and transport center near the border with Kazakhstan.
  • A. Ivangorod
    Ivangorod is a Russian border town on the Narva River, known for its medieval fortress facing the Estonian city of Narva.
  • B. Volokolamsk
    Volokolamsk is a historic town in western Russia, located northwest of Moscow and known for its medieval origins and role in regional trade and defense.
  • C. Pereiaslavl
    Pereiaslavl was one of the principal urban centers of Kyivan Rus, serving as an important political, military, and cultural hub in medieval Eastern Europe.
  • D. Klushino
    Klushino is a rural village in western Russia best known as the birthplace of cosmonaut Yuri Gagarin.
  • E. 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.
  • 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_6a0875fdccac819092279075a0ba3a4c completed May 16, 2026, 1:49 p.m.
NEDg Description generation batch_6a087754af1481909a8ffa042aad2f42 completed May 16, 2026, 1:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0877dcf9548190bd42db7a54aea824 completed May 16, 2026, 1:57 p.m.
Created at: April 10, 2026, 1:36 p.m.