Triple

T20931900
Position Surface form Disambiguated ID Type / Status
Subject Asghar Farhadi E515490 entity
Predicate educatedAt P5 FINISHED
Object Tarbiat Modares University NE NERFINISHED

How this triple was built (3 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: Tarbiat Modares University | Statement: [Asghar Farhadi, educatedAt, Tarbiat Modares University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarbiat Modares University
Context triple: [Asghar Farhadi, educatedAt, Tarbiat Modares University]
  • A. Shahid Beheshti University
    Shahid Beheshti University is a major public research university in Iran, recognized as one of the country’s leading institutions of higher education.
  • B. Shiraz University
    Shiraz University is a major public research university and one of the leading higher education institutions in southern Iran.
  • C. Sharif University of Technology
    Sharif University of Technology is a leading Iranian public research university in Tehran, renowned for its rigorous engineering and science programs and highly competitive admissions.
  • D. University of Tehran
    The University of Tehran is Iran’s oldest and most prestigious public university, widely regarded as the country’s leading center for higher education and research.
  • E. Amirkabir University of Technology
    Amirkabir University of Technology is one of Iran’s leading and oldest engineering and technical universities, renowned for its strong research output and rigorous academic programs.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tarbiat Modares University
Target entity description: Tarbiat Modares University is a leading Iranian graduate-only public research university in Tehran, known for training specialists and academics across a wide range of disciplines.
  • A. Shahid Beheshti University
    Shahid Beheshti University is a major public research university in Iran, recognized as one of the country’s leading institutions of higher education.
  • B. Shiraz University
    Shiraz University is a major public research university and one of the leading higher education institutions in southern Iran.
  • C. Sharif University of Technology
    Sharif University of Technology is a leading Iranian public research university in Tehran, renowned for its rigorous engineering and science programs and highly competitive admissions.
  • D. University of Tehran
    The University of Tehran is Iran’s oldest and most prestigious public university, widely regarded as the country’s leading center for higher education and research.
  • E. Amirkabir University of Technology
    Amirkabir University of Technology is one of Iran’s leading and oldest engineering and technical universities, renowned for its strong research output and rigorous academic programs.
  • F. None of above. chosen

Provenance (2 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_69e0b4fb431c8190b9d40e6a72f0cc87 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f65681b4819083c7ef6b44ba4bdb completed April 21, 2026, 4 a.m.
Created at: April 16, 2026, 12:49 p.m.