Triple

T8047141
Position Surface form Disambiguated ID Type / Status
Subject Central Campus E187581 entity
Predicate contains P35 FINISHED
Object Faculty of Law and Political Science, University of Tehran
The Faculty of Law and Political Science at the University of Tehran is a leading Iranian academic institution renowned for its programs in legal studies, political science, and international relations.
 E189006 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 Law and Political Science, University of Tehran | Statement: [Central Campus, contains, Faculty of Law and Political Science, University of Tehran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Faculty of Law and Political Science, University of Tehran
Context triple: [Central Campus, contains, Faculty of Law and Political Science, University of Tehran]
  • A. Faculty of Law and Political Sciences
    The Faculty of Law and Political Sciences is an academic division of the University of Antioquia specializing in legal studies, political science, and related social sciences.
  • B. Faculty of Law and Political Science
    The Faculty of Law and Political Science is an academic unit of the National University of San Marcos in Peru, dedicated to higher education and research in legal studies and political science.
  • C. Faculty of Law and Political Science
    The Faculty of Law and Political Science is an academic division of Cheikh Anta Diop University in Dakar that offers higher education and research programs in legal studies and political science.
  • D. Faculty of Law and Political Science
    The Faculty of Law and Political Science is an academic division of Université Quisqueya in Haiti that offers higher education and research programs in legal studies and political science.
  • E. Faculty of Law and Political Science
    The Faculty of Law and Political Science is an academic division of the University of Reims Champagne-Ardenne specializing in legal and political studies and research.
  • 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 Law and Political Science, University of Tehran
Triple: [Central Campus, contains, Faculty of Law and Political Science, University of Tehran]
Generated description
The Faculty of Law and Political Science at the University of Tehran is a leading Iranian academic institution renowned for its programs in legal studies, political science, and international relations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Faculty of Law and Political Science, University of Tehran
Target entity description: The Faculty of Law and Political Science at the University of Tehran is a leading Iranian academic institution renowned for its programs in legal studies, political science, and international relations.
  • A. Faculty of Law and Political Sciences
    The Faculty of Law and Political Sciences is an academic division of the University of Antioquia specializing in legal studies, political science, and related social sciences.
  • B. Faculty of Law and Political Science
    The Faculty of Law and Political Science is an academic unit of the National University of San Marcos in Peru, dedicated to higher education and research in legal studies and political science.
  • C. Faculty of Law and Political Science
    The Faculty of Law and Political Science is an academic division of Cheikh Anta Diop University in Dakar that offers higher education and research programs in legal studies and political science.
  • D. Faculty of Law and Political Science
    The Faculty of Law and Political Science is an academic division of Université Quisqueya in Haiti that offers higher education and research programs in legal studies and political science.
  • E. Faculty of Law and Political Science chosen
    The Faculty of Law and Political Science is a prominent academic division of the University of Tehran specializing in legal studies, political science, and related social sciences.
  • 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.