Triple

T5997703
Position Surface form Disambiguated ID Type / Status
Subject Savski Venac E133514 entity
Predicate contains P35 FINISHED
Object Belgrade University Faculty of Transport and Traffic Engineering
Belgrade University Faculty of Transport and Traffic Engineering is a specialized faculty of the University of Belgrade focused on education and research in transportation, traffic engineering, and related technologies.
E560806 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: Belgrade University Faculty of Transport and Traffic Engineering | Statement: [Savski Venac, contains, Belgrade University Faculty of Transport and Traffic Engineering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belgrade University Faculty of Transport and Traffic Engineering
Context triple: [Savski Venac, contains, Belgrade University Faculty of Transport and Traffic Engineering]
  • A. Faculty of Mechanical Engineering, University of Belgrade
    The Faculty of Mechanical Engineering, University of Belgrade is a leading Serbian higher education and research institution specializing in mechanical engineering and related technical disciplines.
  • B. Faculty of Transport
    The Faculty of Transport is an academic division of Volgograd State Technical University specializing in education and research related to transportation engineering and technologies.
  • C. Faculty of Transport
    The Faculty of Transport is an academic division of the Warsaw University of Technology specializing in education and research in transportation systems, logistics, and related engineering fields.
  • D. Faculty of Electrical Engineering, University of Belgrade
    The Faculty of Electrical Engineering, University of Belgrade is a leading Serbian higher education and research institution specializing in electrical engineering and related fields.
  • E. Faculty of Civil and Transport Engineering
    The Faculty of Civil and Transport Engineering is an academic unit of Poznań University of Technology specializing in education and research in civil engineering, transportation systems, and related infrastructure fields.
  • 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: Belgrade University Faculty of Transport and Traffic Engineering
Triple: [Savski Venac, contains, Belgrade University Faculty of Transport and Traffic Engineering]
Generated description
Belgrade University Faculty of Transport and Traffic Engineering is a specialized faculty of the University of Belgrade focused on education and research in transportation, traffic engineering, and related technologies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Belgrade University Faculty of Transport and Traffic Engineering
Target entity description: Belgrade University Faculty of Transport and Traffic Engineering is a specialized faculty of the University of Belgrade focused on education and research in transportation, traffic engineering, and related technologies.
  • A. Faculty of Mechanical Engineering, University of Belgrade
    The Faculty of Mechanical Engineering, University of Belgrade is a leading Serbian higher education and research institution specializing in mechanical engineering and related technical disciplines.
  • B. Faculty of Transport
    The Faculty of Transport is an academic division of Volgograd State Technical University specializing in education and research related to transportation engineering and technologies.
  • C. Faculty of Transport
    The Faculty of Transport is an academic division of the Warsaw University of Technology specializing in education and research in transportation systems, logistics, and related engineering fields.
  • D. Faculty of Electrical Engineering, University of Belgrade
    The Faculty of Electrical Engineering, University of Belgrade is a leading Serbian higher education and research institution specializing in electrical engineering and related fields.
  • E. Faculty of Civil and Transport Engineering
    The Faculty of Civil and Transport Engineering is an academic unit of Poznań University of Technology specializing in education and research in civil engineering, transportation systems, and related infrastructure fields.
  • 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_69c00870ddbc81909880fa3864f4f38d completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04ee274e08190b6478c7ae318ae48 completed March 22, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c10876d4d0819083ac7431c8abaedd completed March 23, 2026, 9:31 a.m.
NEDg Description generation batch_69c10987f5588190ac9305b84d8916a7 completed March 23, 2026, 9:36 a.m.
NED2 Entity disambiguation (via description) batch_69c10afbee8081909cf516ae7cda7ccf completed March 23, 2026, 9:42 a.m.
Created at: March 22, 2026, 4:05 p.m.