Triple

T14387618
Position Surface form Disambiguated ID Type / Status
Subject Bryansk Oblast E356765 entity
Predicate hasCity P316 FINISHED
Object Klintsy
Klintsy is a city in western Russia known as an industrial and cultural center within Bryansk Oblast.
 E1099025 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: Klintsy | Statement: [Bryansk Oblast, hasCity, Klintsy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Klintsy
Context triple: [Bryansk Oblast, hasCity, Klintsy]
  • A. Krasny Kut
    Krasny Kut is a small town in southwestern Russia known as an administrative and agricultural center within the Saratov region.
  • B. Monastyryshche
    Monastyryshche is a small town in central Ukraine that serves as a local administrative and cultural center within Cherkasy Oblast.
  • C. Bronnitsy
    Bronnitsy is a historic town in Russia known for its jewelry-making traditions and its location southeast of Moscow along the Moskva River.
  • D. Kostopil
    Kostopil is a town in western Ukraine known for its industrial activity and location within the historical region of Volhynia.
  • E. Shpola
    Shpola is a small town in central Ukraine that serves as an administrative center within Cherkasy Oblast.
  • 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: Klintsy
Triple: [Bryansk Oblast, hasCity, Klintsy]
Generated description
Klintsy is a city in western Russia known as an industrial and cultural center within Bryansk Oblast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Klintsy
Target entity description: Klintsy is a city in western Russia known as an industrial and cultural center within Bryansk Oblast.
  • A. Krasny Kut
    Krasny Kut is a small town in southwestern Russia known as an administrative and agricultural center within the Saratov region.
  • B. Monastyryshche
    Monastyryshche is a small town in central Ukraine that serves as a local administrative and cultural center within Cherkasy Oblast.
  • C. Bronnitsy
    Bronnitsy is a historic town in Russia known for its jewelry-making traditions and its location southeast of Moscow along the Moskva River.
  • D. Kostopil
    Kostopil is a town in western Ukraine known for its industrial activity and location within the historical region of Volhynia.
  • E. Shpola
    Shpola is a small town in central Ukraine that serves as an administrative center within Cherkasy Oblast.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90283b9c8190b50d30ad58bfe085 completed April 14, 2026, 7:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bc2836c8190a61dfd04127fd255 completed May 8, 2026, 3:42 a.m.
NEDg Description generation batch_69fd5d8c0e4881908dac3fb5a5ac79bc completed May 8, 2026, 3:50 a.m.
NED2 Entity disambiguation (via description) batch_69fd5e46c184819092ebb2b5aad28125 completed May 8, 2026, 3:53 a.m.
Created at: April 10, 2026, 1:16 a.m.