Triple

T8972294
Position Surface form Disambiguated ID Type / Status
Subject School of Chemistry, Trinity College Dublin E214295 entity
Predicate parentOrganization P254 FINISHED
Object Faculty of Science, Technology, Engineering and Mathematics, Trinity College Dublin
The Faculty of Science, Technology, Engineering and Mathematics at Trinity College Dublin is the university’s academic division responsible for education and research across the STEM disciplines.
E770277 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 Science, Technology, Engineering and Mathematics, Trinity College Dublin | Statement: [School of Chemistry, Trinity College Dublin, parentOrganization, Faculty of Science, Technology, Engineering and Mathematics, Trinity College Dublin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Science, Technology, Engineering and Mathematics, Trinity College Dublin
Context triple: [School of Chemistry, Trinity College Dublin, parentOrganization, Faculty of Science, Technology, Engineering and Mathematics, Trinity College Dublin]
  • A. Faculty of Science and Technology
    The Faculty of Science and Technology is an academic division of Cheikh Anta Diop University dedicated to education and research in the natural sciences, mathematics, engineering, and related technological fields.
  • B. Faculty of Science and Technology
    The Faculty of Science and Technology is an academic division of the University of Central Lancashire that delivers teaching and research across a range of scientific and technological disciplines.
  • C. Faculty of Science and Technology
    The Faculty of Science and Technology at the University of Twente is an academic division focused on education and research in natural sciences, engineering, and related technological disciplines.
  • D. Faculty of Science and Technology
    The Faculty of Science and Technology is a division of the University of Nantes dedicated to education and research in scientific and technological disciplines.
  • E. Faculty of Science and Technology
    The Faculty of Science and Technology at the University of Westminster is an academic division offering science, engineering, and technology-related education and research programs.
  • 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 Science, Technology, Engineering and Mathematics, Trinity College Dublin
Triple: [School of Chemistry, Trinity College Dublin, parentOrganization, Faculty of Science, Technology, Engineering and Mathematics, Trinity College Dublin]
Generated description
The Faculty of Science, Technology, Engineering and Mathematics at Trinity College Dublin is the university’s academic division responsible for education and research across the STEM disciplines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Science, Technology, Engineering and Mathematics, Trinity College Dublin
Target entity description: The Faculty of Science, Technology, Engineering and Mathematics at Trinity College Dublin is the university’s academic division responsible for education and research across the STEM disciplines.
  • A. Faculty of Science and Technology
    The Faculty of Science and Technology is an academic division of Cheikh Anta Diop University dedicated to education and research in the natural sciences, mathematics, engineering, and related technological fields.
  • B. Faculty of Science and Technology
    The Faculty of Science and Technology is an academic division of the University of Central Lancashire that delivers teaching and research across a range of scientific and technological disciplines.
  • C. Faculty of Science and Technology
    The Faculty of Science and Technology at the University of Twente is an academic division focused on education and research in natural sciences, engineering, and related technological disciplines.
  • D. Faculty of Science and Technology
    The Faculty of Science and Technology is a division of the University of Nantes dedicated to education and research in scientific and technological disciplines.
  • E. Faculty of Science and Technology
    The Faculty of Science and Technology at the University of Westminster is an academic division offering science, engineering, and technology-related education and research programs.
  • 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_69ca839dbf608190a2f5990477115d29 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6780d45081909f2bc5295c8550f9 completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc9632afc8190a4dc14d33e8757ee completed April 3, 2026, 2:06 p.m.
NEDg Description generation batch_69cfcb178d488190ab8ea897f964c10a completed April 3, 2026, 2:13 p.m.
NED2 Entity disambiguation (via description) batch_69cfcc1bb3248190ac94ed37be2dcde4 completed April 3, 2026, 2:18 p.m.
Created at: March 30, 2026, 7:02 p.m.