Triple

T5438789
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Chemistry, University of Vienna E122077 entity
Predicate campus P269 FINISHED
Object University of Vienna campus network
The University of Vienna campus network is the interconnected infrastructure that links faculties and facilities, such as the Faculty of Chemistry, to provide unified academic, research, and administrative services across the university.
E519290 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: University of Vienna campus network | Statement: [Faculty of Chemistry, University of Vienna, campus, University of Vienna campus network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University of Vienna campus network
Context triple: [Faculty of Chemistry, University of Vienna, campus, University of Vienna campus network]
  • A. University of Stirling campus network
    The University of Stirling campus network is the multi-campus infrastructure and community that connects the university’s main Stirling site with its additional locations, including the Highland campus, for teaching, research, and student services.
  • B. Heriot-Watt University campus network
    Heriot-Watt University campus network is the multi-campus system of Heriot-Watt University, encompassing its various teaching and research sites across Scotland and abroad.
  • C. Moscow State University campus network
    The Moscow State University campus network is the integrated system of facilities, sites, and infrastructure associated with Moscow State University, encompassing its academic buildings, research centers, and affiliated campuses and grounds.
  • D. University of Glasgow campus network
    The University of Glasgow campus network is a multi-site system of university campuses and facilities across different locations that together deliver the institution’s teaching, research, and student services.
  • E. University of Tokyo campus network
    The University of Tokyo campus network is the integrated system of campuses, facilities, and infrastructure that together support the university’s teaching, research, and student life across multiple locations.
  • 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: University of Vienna campus network
Triple: [Faculty of Chemistry, University of Vienna, campus, University of Vienna campus network]
Generated description
The University of Vienna campus network is the interconnected infrastructure that links faculties and facilities, such as the Faculty of Chemistry, to provide unified academic, research, and administrative services across the university.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: University of Vienna campus network
Target entity description: The University of Vienna campus network is the interconnected infrastructure that links faculties and facilities, such as the Faculty of Chemistry, to provide unified academic, research, and administrative services across the university.
  • A. University of Stirling campus network
    The University of Stirling campus network is the multi-campus infrastructure and community that connects the university’s main Stirling site with its additional locations, including the Highland campus, for teaching, research, and student services.
  • B. Heriot-Watt University campus network
    Heriot-Watt University campus network is the multi-campus system of Heriot-Watt University, encompassing its various teaching and research sites across Scotland and abroad.
  • C. Moscow State University campus network
    The Moscow State University campus network is the integrated system of facilities, sites, and infrastructure associated with Moscow State University, encompassing its academic buildings, research centers, and affiliated campuses and grounds.
  • D. University of Glasgow campus network
    The University of Glasgow campus network is a multi-site system of university campuses and facilities across different locations that together deliver the institution’s teaching, research, and student services.
  • E. University of Tokyo campus network
    The University of Tokyo campus network is the integrated system of campuses, facilities, and infrastructure that together support the university’s teaching, research, and student life across multiple locations.
  • 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_69bd46400768819092925d461c0b8432 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91be61dc819087f4a77bdc5ff382 completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3ad3a3d88190bacde12f515d9971 completed March 22, 2026, 12:41 a.m.
NEDg Description generation batch_69bf3ba6784081908b19717290b7ba3d completed March 22, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_69bf3c1ad4d8819093aeb94f62eb1086 completed March 22, 2026, 12:47 a.m.
Created at: March 20, 2026, 2:07 p.m.