Triple

T9874896
Position Surface form Disambiguated ID Type / Status
Subject Perm Krai E240048 entity
Predicate hasCity P316 FINISHED
Object Krasnokamsk
Krasnokamsk is an industrial city in western Russia known for its paper, printing, and chemical industries.
E848227 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: Krasnokamsk | Statement: [Perm Krai, hasCity, Krasnokamsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krasnokamsk
Context triple: [Perm Krai, hasCity, Krasnokamsk]
  • A. Krasnoturyinsk
    Krasnoturyinsk is an industrial town in Russia’s Ural region known for its mining and metallurgical industries.
  • B. Yuzovka
    Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
  • C. Kastornoye
    Kastornoye is a locality in Russia historically notable as the namesake and focal area of the Voronezh–Kastornoye military offensive during World War II.
  • D. Kirzhach
    Kirzhach is a small historic town in western Russia known for its traditional architecture and location on the Kirzhach River.
  • E. Melekhovo
    Melekhovo is a rural locality in Russia known for housing the IK-6 high-security penal colony.
  • 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: Krasnokamsk
Triple: [Perm Krai, hasCity, Krasnokamsk]
Generated description
Krasnokamsk is an industrial city in western Russia known for its paper, printing, and chemical industries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Krasnokamsk
Target entity description: Krasnokamsk is an industrial city in western Russia known for its paper, printing, and chemical industries.
  • A. Krasnoturyinsk
    Krasnoturyinsk is an industrial town in Russia’s Ural region known for its mining and metallurgical industries.
  • B. Yuzovka
    Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
  • C. Kastornoye
    Kastornoye is a locality in Russia historically notable as the namesake and focal area of the Voronezh–Kastornoye military offensive during World War II.
  • D. Kirzhach
    Kirzhach is a small historic town in western Russia known for its traditional architecture and location on the Kirzhach River.
  • E. Melekhovo
    Melekhovo is a rural locality in Russia known for housing the IK-6 high-security penal colony.
  • 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_69ca84e8a0788190b9061811d50fd554 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3f9d82c81908afb4977ce4e3e4a completed April 2, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d354c521dc819084b09c9a57c1a26c completed April 6, 2026, 6:37 a.m.
NEDg Description generation batch_69d35538f658819093dd8874ceeba32f completed April 6, 2026, 6:39 a.m.
NED2 Entity disambiguation (via description) batch_69d35633ba0c8190a5cda862394225fd completed April 6, 2026, 6:44 a.m.
Created at: March 30, 2026, 8:37 p.m.