Triple

T8735095
Position Surface form Disambiguated ID Type / Status
Subject Battle of Ruschuk E207360 entity
Predicate namedAfter P63 FINISHED
Object Ruschuk
Ruschuk is the historical name for the city of Ruse, a major port on the Danube River in northeastern Bulgaria.
 E753237 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: Ruschuk | Statement: [Battle of Ruschuk, namedAfter, Ruschuk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ruschuk
Context triple: [Battle of Ruschuk, namedAfter, Ruschuk]
  • A. Rudsak
    Rudsak is a Canadian fashion brand known for its contemporary outerwear, leather goods, and accessories.
  • B. Oreshek
    Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
  • C. Tsitska
    Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
  • D. Rossosh
    Rossosh is a town in Voronezh Oblast, Russia, known as a regional center in the country’s southwest.
  • E. Roderesch
    Roderesch is a small village in the municipality of Noordenveld in the province of Drenthe in the northeastern Netherlands.
  • 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: Ruschuk
Triple: [Battle of Ruschuk, namedAfter, Ruschuk]
Generated description
Ruschuk is the historical name for the city of Ruse, a major port on the Danube River in northeastern Bulgaria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ruschuk
Target entity description: Ruschuk is the historical name for the city of Ruse, a major port on the Danube River in northeastern Bulgaria.
  • A. Rudsak
    Rudsak is a Canadian fashion brand known for its contemporary outerwear, leather goods, and accessories.
  • B. Oreshek
    Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
  • C. Tsitska
    Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
  • D. Rossosh
    Rossosh is a town in Voronezh Oblast, Russia, known as a regional center in the country’s southwest.
  • E. Roderesch
    Roderesch is a small village in the municipality of Noordenveld in the province of Drenthe in the northeastern Netherlands.
  • 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_69ca8358e4008190898471a59b96c301 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d2b89988190bb7671e273026046 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf2936f84081908cf91f1dc9a4d27f completed April 3, 2026, 2:43 a.m.
NEDg Description generation batch_69cf2bfc2cc48190b13c54282c15e107 completed April 3, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69cf2cbf60808190a006ee4fb26cde41 completed April 3, 2026, 2:58 a.m.
Created at: March 30, 2026, 6:37 p.m.