Triple

T1091725
Position Surface form Disambiguated ID Type / Status
Subject Technical University of Munich E24177 entity
Predicate hasFaculty P141 FINISHED
Object TUM School of Social Sciences and Technology
The TUM School of Social Sciences and Technology is a faculty of the Technical University of Munich that focuses on the intersection of social sciences, education, and technology in research and teaching.
E132574 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: TUM School of Social Sciences and Technology | Statement: [Technical University of Munich, hasFaculty, TUM School of Social Sciences and Technology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TUM School of Social Sciences and Technology
Context triple: [Technical University of Munich, hasFaculty, TUM School of Social Sciences and Technology]
  • A. TUM School of Management
    TUM School of Management is the business and management school of the Technical University of Munich, known for integrating management education with strong foundations in technology and engineering.
  • B. TUM School of Computation, Information and Technology
    TUM School of Computation, Information and Technology is a faculty of the Technical University of Munich that focuses on computer science, mathematics, and related information and engineering disciplines.
  • C. Technical University of Berlin
    The Technical University of Berlin is a major research-intensive university in Germany known for its strong engineering, natural sciences, and technology programs.
  • D. Technical University of Munich
    The Technical University of Munich is a leading German research university renowned for its excellence in engineering, natural sciences, and technology, as well as its strong industry partnerships and innovation.
  • E. Vienna University of Technology
    Vienna University of Technology is a leading Austrian research university in Vienna, renowned for its programs in engineering, natural sciences, and technology.
  • 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: TUM School of Social Sciences and Technology
Triple: [Technical University of Munich, hasFaculty, TUM School of Social Sciences and Technology]
Generated description
The TUM School of Social Sciences and Technology is a faculty of the Technical University of Munich that focuses on the intersection of social sciences, education, and technology in research and teaching.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TUM School of Social Sciences and Technology
Target entity description: The TUM School of Social Sciences and Technology is a faculty of the Technical University of Munich that focuses on the intersection of social sciences, education, and technology in research and teaching.
  • A. TUM School of Management
    TUM School of Management is the business and management school of the Technical University of Munich, known for integrating management education with strong foundations in technology and engineering.
  • B. TUM School of Computation, Information and Technology
    TUM School of Computation, Information and Technology is a faculty of the Technical University of Munich that focuses on computer science, mathematics, and related information and engineering disciplines.
  • C. Technical University of Berlin
    The Technical University of Berlin is a major research-intensive university in Germany known for its strong engineering, natural sciences, and technology programs.
  • D. Technical University of Munich
    The Technical University of Munich is a leading German research university renowned for its excellence in engineering, natural sciences, and technology, as well as its strong industry partnerships and innovation.
  • E. Vienna University of Technology
    Vienna University of Technology is a leading Austrian research university in Vienna, renowned for its programs in engineering, natural sciences, and technology.
  • 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_69a49404428c819092dcc9632f5f7b8b completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b982018481908b222df095e318c0 completed March 1, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5ea6cc888190b06f640a1e4a5147 completed March 7, 2026, 5:21 p.m.
NEDg Description generation batch_69ac5f15c2808190905e40c6db9d957c completed March 7, 2026, 5:23 p.m.
NED2 Entity disambiguation (via description) batch_69ac633749008190bae63644d5ee7cea completed March 7, 2026, 5:41 p.m.
Created at: March 1, 2026, 7:42 p.m.