Triple

T8047109
Position Surface form Disambiguated ID Type / Status
Subject Ministry of Science, Research and Technology of Iran E187580 entity
Predicate headedBy P981 FINISHED
Object Minister of Science, Research and Technology of Iran
The Minister of Science, Research and Technology of Iran is the cabinet-level official responsible for overseeing the country’s higher education, scientific research, and technological development policies.
E187580 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: Minister of Science, Research and Technology of Iran | Statement: [Ministry of Science, Research and Technology of Iran, headedBy, Minister of Science, Research and Technology of Iran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minister of Science, Research and Technology of Iran
Context triple: [Ministry of Science, Research and Technology of Iran, headedBy, Minister of Science, Research and Technology of Iran]
  • A. Ministry of Science, Research and Technology of Iran
    The Ministry of Science, Research and Technology of Iran is the government body responsible for overseeing higher education, scientific research, and technological development across Iranian universities and research institutions.
  • B. Israeli Minister of Science and Technology
    Yuval Ne'eman was an Israeli physicist, military officer, and politician known for his pioneering work in particle physics and for helping to establish Israel's space and scientific research programs.
  • C. Minister of Science and Technology of Japan
    The Minister of Science and Technology of Japan is a cabinet-level government official responsible for overseeing national policies, research initiatives, and innovation strategies in science and technology.
  • D. President of the National Council for Science and Technology
    The President of the National Council for Science and Technology was a top-level Romanian state position overseeing national science and technology policy and institutions during the communist era.
  • E. Secretary of Science and Technology
    The Secretary of Science and Technology is the Philippine government’s chief official responsible for directing national policies, programs, and initiatives in science, technology, and innovation.
  • 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: Minister of Science, Research and Technology of Iran
Triple: [Ministry of Science, Research and Technology of Iran, headedBy, Minister of Science, Research and Technology of Iran]
Generated description
The Minister of Science, Research and Technology of Iran is the cabinet-level official responsible for overseeing the country’s higher education, scientific research, and technological development policies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Minister of Science, Research and Technology of Iran
Target entity description: The Minister of Science, Research and Technology of Iran is the cabinet-level official responsible for overseeing the country’s higher education, scientific research, and technological development policies.
  • A. Ministry of Science, Research and Technology of Iran chosen
    The Ministry of Science, Research and Technology of Iran is the government body responsible for overseeing higher education, scientific research, and technological development across Iranian universities and research institutions.
  • B. Israeli Minister of Science and Technology
    Yuval Ne'eman was an Israeli physicist, military officer, and politician known for his pioneering work in particle physics and for helping to establish Israel's space and scientific research programs.
  • C. Minister of Science and Technology of Japan
    The Minister of Science and Technology of Japan is a cabinet-level government official responsible for overseeing national policies, research initiatives, and innovation strategies in science and technology.
  • D. President of the National Council for Science and Technology
    The President of the National Council for Science and Technology was a top-level Romanian state position overseeing national science and technology policy and institutions during the communist era.
  • E. Secretary of Science and Technology
    The Secretary of Science and Technology is the Philippine government’s chief official responsible for directing national policies, programs, and initiatives in science, technology, and innovation.
  • F. None of above.

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_69ca82b15e948190a62fd7af5218426a completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f4f0bf88190b8a706186118c977 completed March 31, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc5711d2bc8190911f2cade7596be5 completed March 31, 2026, 11:21 p.m.
NEDg Description generation batch_69cc58edb31881909b6efd2fbbc2480e completed March 31, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_69cc5ccee5648190a8ebdf8029eded98 completed March 31, 2026, 11:46 p.m.
Created at: March 30, 2026, 5:24 p.m.