Triple

T3728496
Position Surface form Disambiguated ID Type / Status
Subject Azerbaijan National Academy of Sciences E79005 entity
Predicate hasDivision P35 FINISHED
Object Department of Physical-Mathematical and Technical Sciences
The Department of Physical-Mathematical and Technical Sciences is a specialized division of the Azerbaijan National Academy of Sciences that coordinates and advances research in physics, mathematics, and engineering-related disciplines.
E383796 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 Physical-Mathematical and Technical Sciences | Statement: [Azerbaijan National Academy of Sciences, hasDivision, Department of Physical-Mathematical and Technical Sciences]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Physical-Mathematical and Technical Sciences
Context triple: [Azerbaijan National Academy of Sciences, hasDivision, Department of Physical-Mathematical and Technical Sciences]
  • A. Department of Technical Sciences
    The Department of Technical Sciences is a specialized division of the Serbian Academy of Sciences and Arts focused on advancing research and scholarship in engineering and applied technical fields.
  • B. Faculty of Physics and Mathematics
    The Faculty of Physics and Mathematics is an academic division of Kyiv Polytechnic Institute specializing in education and research in fundamental physics and mathematical sciences.
  • C. Faculty of Physics and Technology
    The Faculty of Physics and Technology is an academic division of Volgograd State University specializing in education and research in physics and applied technological disciplines.
  • D. Faculty of Physical and Mathematical Sciences
    The Faculty of Physical and Mathematical Sciences is a leading academic and research unit of the University of Chile specializing in engineering, physics, mathematics, and related scientific disciplines.
  • E. Faculty of Mathematical Physical and Natural Sciences
    The Faculty of Mathematical, Physical and Natural Sciences is a scientific faculty of Sapienza University of Rome that focuses on education and research in mathematics, physics, and the natural sciences.
  • 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 Physical-Mathematical and Technical Sciences
Triple: [Azerbaijan National Academy of Sciences, hasDivision, Department of Physical-Mathematical and Technical Sciences]
Generated description
The Department of Physical-Mathematical and Technical Sciences is a specialized division of the Azerbaijan National Academy of Sciences that coordinates and advances research in physics, mathematics, and engineering-related disciplines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Physical-Mathematical and Technical Sciences
Target entity description: The Department of Physical-Mathematical and Technical Sciences is a specialized division of the Azerbaijan National Academy of Sciences that coordinates and advances research in physics, mathematics, and engineering-related disciplines.
  • A. Department of Technical Sciences
    The Department of Technical Sciences is a specialized division of the Serbian Academy of Sciences and Arts focused on advancing research and scholarship in engineering and applied technical fields.
  • B. Faculty of Physics and Mathematics
    The Faculty of Physics and Mathematics is an academic division of Kyiv Polytechnic Institute specializing in education and research in fundamental physics and mathematical sciences.
  • C. Faculty of Physics and Technology
    The Faculty of Physics and Technology is an academic division of Volgograd State University specializing in education and research in physics and applied technological disciplines.
  • D. Faculty of Physical and Mathematical Sciences
    The Faculty of Physical and Mathematical Sciences is a leading academic and research unit of the University of Chile specializing in engineering, physics, mathematics, and related scientific disciplines.
  • E. Faculty of Mathematical Physical and Natural Sciences
    The Faculty of Mathematical, Physical and Natural Sciences is a scientific faculty of Sapienza University of Rome that focuses on education and research in mathematics, physics, and the natural sciences.
  • 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_69ad8b0e4650819090ad7cef094285e8 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcaf921bc81908bb347d6b9204670 completed March 8, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db13d34881909fa74c682184b797 completed March 14, 2026, 3:50 a.m.
NEDg Description generation batch_69b4dbded2c8819084c26ae2ec1c19b3 completed March 14, 2026, 3:54 a.m.
NED2 Entity disambiguation (via description) batch_69b4dc9b80f8819083074657a32798a4 completed March 14, 2026, 3:57 a.m.
Created at: March 8, 2026, 3:34 p.m.