Triple

T10131992
Position Surface form Disambiguated ID Type / Status
Subject Rivne E226359 entity
Predicate hasFootballClub P346 FINISHED
Object Veres Rivne
Veres Rivne is a Ukrainian professional football club based in the city of Rivne that competes in the national league system.
E844487 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: Veres Rivne | Statement: [Rivne, hasFootballClub, Veres Rivne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veres Rivne
Context triple: [Rivne, hasFootballClub, Veres Rivne]
  • A. Stryi
    Stryi is a historic city in western Ukraine known as an important regional center of the Lviv Oblast.
  • B. Rubizhne
    Rubizhne is an industrial city in eastern Ukraine known for its chemical and manufacturing industries and its location within the conflict-affected Donbas region.
  • C. Mukhavets
    Mukhavets is a river in western Belarus that flows through the city of Brest before joining the Western Bug.
  • D. Pervomaiskyi
    Pervomaiskyi is a small industrial city in eastern Ukraine known for its chemical industry and location within Kharkiv Oblast.
  • E. Baturyn
    Baturyn is a historic town in northern Ukraine that served as a major political and military center of the Cossack Hetmanate in the 17th–18th centuries.
  • 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: Veres Rivne
Triple: [Rivne, hasFootballClub, Veres Rivne]
Generated description
Veres Rivne is a Ukrainian professional football club based in the city of Rivne that competes in the national league system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Veres Rivne
Target entity description: Veres Rivne is a Ukrainian professional football club based in the city of Rivne that competes in the national league system.
  • A. Stryi
    Stryi is a historic city in western Ukraine known as an important regional center of the Lviv Oblast.
  • B. Rubizhne
    Rubizhne is an industrial city in eastern Ukraine known for its chemical and manufacturing industries and its location within the conflict-affected Donbas region.
  • C. Mukhavets
    Mukhavets is a river in western Belarus that flows through the city of Brest before joining the Western Bug.
  • D. Pervomaiskyi
    Pervomaiskyi is a small industrial city in eastern Ukraine known for its chemical industry and location within Kharkiv Oblast.
  • E. Baturyn
    Baturyn is a historic town in northern Ukraine that served as a major political and military center of the Cossack Hetmanate in the 17th–18th centuries.
  • 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_69ca843057b48190a86730167f5d6b98 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd33557a88190b5fb1938646d8532 completed April 2, 2026, 2:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e5ce3fcc8190b1d07dbba34d6bff completed April 5, 2026, 10:44 p.m.
NEDg Description generation batch_69d2e9eaf4f88190b9e18d0e1793b2c9 completed April 5, 2026, 11:02 p.m.
NED2 Entity disambiguation (via description) batch_69d2ea4020888190a544ccc771ac600e completed April 5, 2026, 11:03 p.m.
Created at: March 30, 2026, 9:06 p.m.