Triple

T14387620
Position Surface form Disambiguated ID Type / Status
Subject Bryansk Oblast E356765 entity
Predicate hasCity P316 FINISHED
Object Unecha
Unecha is a small town in western Russia that serves as a local administrative and transportation center within Bryansk Oblast.
 E1097870 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: Unecha | Statement: [Bryansk Oblast, hasCity, Unecha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Unecha
Context triple: [Bryansk Oblast, hasCity, Unecha]
  • A. Upangas
    Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
  • B. Bhilala
    The Bhilala are an indigenous Adivasi community of central India, primarily found in western Madhya Pradesh and known for their distinct cultural traditions and art.
  • C. Chinnha
    Chinnha is a notable literary work by the influential Bengali writer Manik Bandopadhyay.
  • D. Galeana
    Galeana is a Spanish-language surname most notably associated with Hermenegildo Galeana, a key insurgent leader in Mexico’s War of Independence.
  • E. Cinca
    The Cinca is a major river in northeastern Spain that flows through the province of Huesca as a tributary of the Ebro.
  • 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: Unecha
Triple: [Bryansk Oblast, hasCity, Unecha]
Generated description
Unecha is a small town in western Russia that serves as a local administrative and transportation center within Bryansk Oblast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Unecha
Target entity description: Unecha is a small town in western Russia that serves as a local administrative and transportation center within Bryansk Oblast.
  • A. Upangas
    Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
  • B. Bhilala
    The Bhilala are an indigenous Adivasi community of central India, primarily found in western Madhya Pradesh and known for their distinct cultural traditions and art.
  • C. Chinnha
    Chinnha is a notable literary work by the influential Bengali writer Manik Bandopadhyay.
  • D. Galeana
    Galeana is a Spanish-language surname most notably associated with Hermenegildo Galeana, a key insurgent leader in Mexico’s War of Independence.
  • E. Cinca
    The Cinca is a major river in northeastern Spain that flows through the province of Huesca as a tributary of the Ebro.
  • 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_69fd551623608190ba1de09b423cc5e1 completed May 8, 2026, 3:14 a.m.
NEDg Description generation batch_69fd5671340081909d87978be2a5522b completed May 8, 2026, 3:20 a.m.
NED2 Entity disambiguation (via description) batch_69fd57a6711881909429bba35ee867c6 completed May 8, 2026, 3:25 a.m.
Created at: April 10, 2026, 1:16 a.m.