Triple

T4752732
Position Surface form Disambiguated ID Type / Status
Subject Ružinov E105514 entity
Predicate borders P224 FINISHED
Object Vrakuňa
Vrakuňa is a borough of Bratislava, Slovakia, located in the eastern part of the city.
 E467430 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: Vrakuňa | Statement: [Ružinov, borders, Vrakuňa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vrakuňa
Context triple: [Ružinov, borders, Vrakuňa]
  • A. Vradeto
    Vradeto is a traditional stone-built mountain village in the Zagori region of Epirus, Greece, known for its dramatic setting and historic Vradeto Steps path.
  • B. Orzola
    Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
  • C. Gavro
    Gavro is a diminutive or short form of the male given name Gavril, commonly used in some Slavic-speaking regions.
  • D. Dragna
    Dragna is a mysterious and menacing underworld boss who orchestrates the central deadly assignment in the crime thriller film "The Bag Man."
  • E. Kvasy
    Kvasy is a village in western Ukraine’s Zakarpattia region, known as a starting point for hikes in the Carpathian Mountains and for its mineral springs.
  • 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: Vrakuňa
Triple: [Ružinov, borders, Vrakuňa]
Generated description
Vrakuňa is a borough of Bratislava, Slovakia, located in the eastern part of the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vrakuňa
Target entity description: Vrakuňa is a borough of Bratislava, Slovakia, located in the eastern part of the city.
  • A. Vradeto
    Vradeto is a traditional stone-built mountain village in the Zagori region of Epirus, Greece, known for its dramatic setting and historic Vradeto Steps path.
  • B. Orzola
    Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
  • C. Gavro
    Gavro is a diminutive or short form of the male given name Gavril, commonly used in some Slavic-speaking regions.
  • D. Dragna
    Dragna is a mysterious and menacing underworld boss who orchestrates the central deadly assignment in the crime thriller film "The Bag Man."
  • E. Kvasy
    Kvasy is a village in western Ukraine’s Zakarpattia region, known as a starting point for hikes in the Carpathian Mountains and for its mineral springs.
  • 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_69bd43f07fa48190954317d01600994a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64e5fba88190b1f28d1b0eed3f8e completed March 20, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a5ddf088190892d31275adb39ba completed March 21, 2026, 6:27 a.m.
NEDg Description generation batch_69be3d05e8a081908cdcb37620078fa6 completed March 21, 2026, 6:39 a.m.
NED2 Entity disambiguation (via description) batch_69be3daa7e0081908971df65613c9df6 completed March 21, 2026, 6:41 a.m.
Created at: March 20, 2026, 1:20 p.m.