Triple

T22407315
Position Surface form Disambiguated ID Type / Status
Subject Federal University of Technology Akure E553909 entity
Predicate hasDepartment P35 FINISHED
Object Department of Remote Sensing and GIS
The Department of Remote Sensing and GIS is an academic unit specializing in geospatial science, satellite imagery analysis, and geographic information systems within the Federal University of Technology Akure.
E1535411 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: Department of Remote Sensing and GIS | Statement: [Federal University of Technology Akure, hasDepartment, Department of Remote Sensing and GIS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Remote Sensing and GIS
Context triple: [Federal University of Technology Akure, hasDepartment, Department of Remote Sensing and GIS]
  • A. GIS and remote sensing laboratory
    GIS and remote sensing laboratory is a specialized research and training facility focused on geospatial analysis, satellite imagery, and related technologies in support of geological and environmental studies.
  • B. Faculty of Geo-Information Science and Earth Observation
    The Faculty of Geo-Information Science and Earth Observation is a specialized academic unit of the University of Twente focused on education and research in geospatial data, remote sensing, and earth observation for sustainable development and environmental management.
  • C. Indian Institute of Remote Sensing
    The Indian Institute of Remote Sensing is a premier Indian Space Research Organisation (ISRO) training, education, and research institute specializing in remote sensing, geoinformatics, and GPS technology.
  • D. Institute of Remote Sensing and GIS, Jahangirnagar University
    The Institute of Remote Sensing and GIS at Jahangirnagar University is an academic and research center specializing in geospatial science, satellite remote sensing, and geographic information systems applications.
  • E. Geospatial Research Laboratory
    The Geospatial Research Laboratory is a U.S. Army research facility focused on developing advanced geospatial, terrain, and environmental technologies to support military engineering and operations.
  • 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: Department of Remote Sensing and GIS
Triple: [Federal University of Technology Akure, hasDepartment, Department of Remote Sensing and GIS]
Generated description
The Department of Remote Sensing and GIS is an academic unit specializing in geospatial science, satellite imagery analysis, and geographic information systems within the Federal University of Technology Akure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Remote Sensing and GIS
Target entity description: The Department of Remote Sensing and GIS is an academic unit specializing in geospatial science, satellite imagery analysis, and geographic information systems within the Federal University of Technology Akure.
  • A. GIS and remote sensing laboratory
    GIS and remote sensing laboratory is a specialized research and training facility focused on geospatial analysis, satellite imagery, and related technologies in support of geological and environmental studies.
  • B. Faculty of Geo-Information Science and Earth Observation
    The Faculty of Geo-Information Science and Earth Observation is a specialized academic unit of the University of Twente focused on education and research in geospatial data, remote sensing, and earth observation for sustainable development and environmental management.
  • C. Indian Institute of Remote Sensing
    The Indian Institute of Remote Sensing is a premier Indian Space Research Organisation (ISRO) training, education, and research institute specializing in remote sensing, geoinformatics, and GPS technology.
  • D. Institute of Remote Sensing and GIS, Jahangirnagar University
    The Institute of Remote Sensing and GIS at Jahangirnagar University is an academic and research center specializing in geospatial science, satellite remote sensing, and geographic information systems applications.
  • E. Geospatial Research Laboratory
    The Geospatial Research Laboratory is a U.S. Army research facility focused on developing advanced geospatial, terrain, and environmental technologies to support military engineering and operations.
  • 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158ba1c6481908e4b9b3635ed3a49 completed April 29, 2026, 1:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0af0e2a0208190b0629e6b2ded7248 completed May 18, 2026, 10:58 a.m.
NEDg Description generation batch_6a0af1e319848190bd12804239ba4d89 completed May 18, 2026, 11:02 a.m.
NED2 Entity disambiguation (via description) batch_6a0af29431648190a506d5e1a4fc9ce7 completed May 18, 2026, 11:05 a.m.
Created at: April 16, 2026, 8:46 p.m.