Triple

T1092698
Position Surface form Disambiguated ID Type / Status
Subject École polytechnique fédérale de Lausanne E24200 entity
Predicate hasFaculty P141 FINISHED
Object School of Computer and Communication Sciences
The School of Computer and Communication Sciences is a leading EPFL faculty renowned for research and education in computer science, communications, and information technologies.
 E125676 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: School of Computer and Communication Sciences | Statement: [École polytechnique fédérale de Lausanne, hasFaculty, School of Computer and Communication Sciences]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: School of Computer and Communication Sciences
Context triple: [École polytechnique fédérale de Lausanne, hasFaculty, School of Computer and Communication Sciences]
  • A. School of Computer Science
    The School of Computer Science at Wuhan University is an academic unit specializing in computer science education and research within the university.
  • B. School of Computer Science
    The School of Computer Science is McGill University’s primary academic unit for teaching and research in computer science, operating within its Faculty of Engineering.
  • C. School of Computer Science
    The School of Computer Science at Carnegie Mellon University is a world-renowned academic and research institution recognized for pioneering contributions to computer science, artificial intelligence, and robotics.
  • D. School of Computer Science
    The School of Computer Science is an academic unit of Central China Normal University specializing in education and research in computer science and related technologies.
  • E. School of Computer Science
    The School of Computer Science at the University of St Andrews is an academic department specializing in teaching and research across areas such as algorithms, artificial intelligence, software engineering, and human-computer interaction.
  • 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: School of Computer and Communication Sciences
Triple: [École polytechnique fédérale de Lausanne, hasFaculty, School of Computer and Communication Sciences]
Generated description
The School of Computer and Communication Sciences is a leading EPFL faculty renowned for research and education in computer science, communications, and information technologies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: School of Computer and Communication Sciences
Target entity description: The School of Computer and Communication Sciences is a leading EPFL faculty renowned for research and education in computer science, communications, and information technologies.
  • A. School of Computer Science
    The School of Computer Science at Carnegie Mellon University is a world-renowned academic and research institution recognized for pioneering contributions to computer science, artificial intelligence, and robotics.
  • B. School of Computer Science
    The School of Computer Science at Wuhan University is an academic unit specializing in computer science education and research within the university.
  • C. School of Computer Science
    The School of Computer Science is McGill University’s primary academic unit for teaching and research in computer science, operating within its Faculty of Engineering.
  • D. School of Computer Science
    The School of Computer Science is an academic unit of Central China Normal University specializing in education and research in computer science and related technologies.
  • E. School of Computer Science
    The School of Computer Science at the University of St Andrews is an academic department specializing in teaching and research across areas such as algorithms, artificial intelligence, software engineering, and human-computer interaction.
  • 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_69a4940542308190ac2a0b1f730b7cfc completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b99bd06c8190bce1d77b0337b07c completed March 1, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c2c6b048190b603e9562dde65d0 completed March 7, 2026, 4:02 p.m.
NEDg Description generation batch_69ac4ca07ce88190bfbf959adc84a74e completed March 7, 2026, 4:04 p.m.
NED2 Entity disambiguation (via description) batch_69ac4d3f62c881908e189bfe8cbbd2ac completed March 7, 2026, 4:07 p.m.
Created at: March 1, 2026, 7:42 p.m.