Triple

T6817800
Position Surface form Disambiguated ID Type / Status
Subject University of Stuttgart E156810 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Civil and Environmental Engineering
The Faculty of Civil and Environmental Engineering is an academic division of the University of Stuttgart specializing in education and research on infrastructure, construction, and environmental systems.
E621990 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: Faculty of Civil and Environmental Engineering | Statement: [University of Stuttgart, hasFaculty, Faculty of Civil and Environmental Engineering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Civil and Environmental Engineering
Context triple: [University of Stuttgart, hasFaculty, Faculty of Civil and Environmental Engineering]
  • A. Faculty of Civil and Environmental Engineering
    The Faculty of Civil and Environmental Engineering is a major academic unit at the Technion – Israel Institute of Technology that focuses on education and research in infrastructure, construction, and environmental systems engineering.
  • B. Faculty of Civil and Environmental Engineering
    The Faculty of Civil and Environmental Engineering is an academic division of Amirkabir University of Technology specializing in education and research on infrastructure, construction, and environmental systems.
  • C. Faculty of Civil and Environmental Engineering
    The Faculty of Civil and Environmental Engineering is an academic division of the Vienna University of Technology specializing in education and research on infrastructure, construction, and environmental systems.
  • D. Faculty of Civil and Environmental Engineering
    The Faculty of Civil and Environmental Engineering is a major academic unit of Institut Teknologi Bandung specializing in education and research on civil infrastructure, environmental systems, and sustainable development.
  • E. Faculty of Civil and Environmental Engineering
    The Faculty of Civil and Environmental Engineering is an academic unit of Gdańsk University of Technology specializing in education and research in civil, environmental, and related engineering disciplines.
  • 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: Faculty of Civil and Environmental Engineering
Triple: [University of Stuttgart, hasFaculty, Faculty of Civil and Environmental Engineering]
Generated description
The Faculty of Civil and Environmental Engineering is an academic division of the University of Stuttgart specializing in education and research on infrastructure, construction, and environmental systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Civil and Environmental Engineering
Target entity description: The Faculty of Civil and Environmental Engineering is an academic division of the University of Stuttgart specializing in education and research on infrastructure, construction, and environmental systems.
  • A. Faculty of Civil and Environmental Engineering
    The Faculty of Civil and Environmental Engineering is an academic division of Amirkabir University of Technology specializing in education and research on infrastructure, construction, and environmental systems.
  • B. Faculty of Civil and Environmental Engineering
    The Faculty of Civil and Environmental Engineering is an academic division of the Vienna University of Technology specializing in education and research on infrastructure, construction, and environmental systems.
  • C. Faculty of Civil and Environmental Engineering
    The Faculty of Civil and Environmental Engineering is a major academic unit at the Technion – Israel Institute of Technology that focuses on education and research in infrastructure, construction, and environmental systems engineering.
  • D. Faculty of Civil and Environmental Engineering
    The Faculty of Civil and Environmental Engineering is a major academic unit of Institut Teknologi Bandung specializing in education and research on civil infrastructure, environmental systems, and sustainable development.
  • E. Faculty of Civil and Environmental Engineering
    The Faculty of Civil and Environmental Engineering is an academic unit of Gdańsk University of Technology specializing in education and research in civil, environmental, and related engineering disciplines.
  • 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_69c688298a288190af3f285d57f76bbe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d355b52081909f037cec76bdccf6 completed March 27, 2026, 6:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723e458d881909fcea55915514eb1 completed March 28, 2026, 12:42 a.m.
NEDg Description generation batch_69c724f876d08190a19dd4e0840f841b completed March 28, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69c72568866c8190bf88a02e566d5c3a completed March 28, 2026, 12:48 a.m.
Created at: March 27, 2026, 2:17 p.m.