Triple

T17788794
Position Surface form Disambiguated ID Type / Status
Subject Nanchang University E444094 entity
Predicate hasFacultyType P2464 FINISHED
Object School of Civil Engineering and Architecture
The School of Civil Engineering and Architecture is an academic unit of Nanchang University specializing in education and research in civil engineering, architecture, and related built-environment disciplines.
E1288173 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 Civil Engineering and Architecture | Statement: [Nanchang University, hasFacultyType, School of Civil Engineering and Architecture]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: School of Civil Engineering and Architecture
Context triple: [Nanchang University, hasFacultyType, School of Civil Engineering and Architecture]
  • A. School of Civil Engineering and Architecture
    The School of Civil Engineering and Architecture is a specialized academic unit of Wuhan University focused on education and research in civil engineering, architecture, and related built-environment disciplines.
  • B. School of Architecture and Civil Engineering
    The School of Architecture and Civil Engineering is an academic unit specializing in the education and research of building design, structural engineering, and infrastructure development within Taiyuan University of Technology.
  • C. School of Architecture and Civil Engineering
    The School of Architecture and Civil Engineering is an academic unit of Xiamen University specializing in education and research in architecture, civil engineering, and related built-environment disciplines.
  • D. School of Civil Engineering
    The School of Civil Engineering is an academic unit specializing in civil and infrastructure engineering education and research within Hanoi University of Science and Technology.
  • E. School of Civil Engineering
    The School of Civil Engineering is an academic unit of Hefei University of Technology specializing in education and research in civil and structural engineering and related 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: School of Civil Engineering and Architecture
Triple: [Nanchang University, hasFacultyType, School of Civil Engineering and Architecture]
Generated description
The School of Civil Engineering and Architecture is an academic unit of Nanchang University specializing in education and research in civil engineering, architecture, and related built-environment disciplines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: School of Civil Engineering and Architecture
Target entity description: The School of Civil Engineering and Architecture is an academic unit of Nanchang University specializing in education and research in civil engineering, architecture, and related built-environment disciplines.
  • A. School of Civil Engineering and Architecture
    The School of Civil Engineering and Architecture is a specialized academic unit of Wuhan University focused on education and research in civil engineering, architecture, and related built-environment disciplines.
  • B. School of Architecture and Civil Engineering
    The School of Architecture and Civil Engineering is an academic unit specializing in the education and research of building design, structural engineering, and infrastructure development within Taiyuan University of Technology.
  • C. School of Architecture and Civil Engineering
    The School of Architecture and Civil Engineering is an academic unit of Xiamen University specializing in education and research in architecture, civil engineering, and related built-environment disciplines.
  • D. School of Civil Engineering
    The School of Civil Engineering is an academic unit specializing in civil and infrastructure engineering education and research within Hanoi University of Science and Technology.
  • E. School of Civil Engineering
    The School of Civil Engineering is an academic unit of Hefei University of Technology specializing in education and research in civil and structural engineering and related 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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4879524bc819090855ab5248c73db completed April 19, 2026, 7:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02f835db9481909d314c17a7c59952 completed May 12, 2026, 9:51 a.m.
NEDg Description generation batch_6a02f89a1cf88190bdd2b80c14e6134a completed May 12, 2026, 9:53 a.m.
NED2 Entity disambiguation (via description) batch_6a02f96e4c5c8190a42f2f11574df421 completed May 12, 2026, 9:57 a.m.
Created at: April 10, 2026, 10:12 a.m.