Triple

T2836896
Position Surface form Disambiguated ID Type / Status
Subject Lotfi A. Zadeh E62372 entity
Predicate educatedAt P5 FINISHED
Object University of Tehran E35852 NE FINISHED

How this triple was built (2 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: University of Tehran | Statement: [Lotfi A. Zadeh, educatedAt, University of Tehran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University of Tehran
Context triple: [Lotfi A. Zadeh, educatedAt, University of Tehran]
  • A. University of Tehran chosen
    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.
  • B. Ferdowsi University of Mashhad
    Ferdowsi University of Mashhad is a major public research university in Mashhad, Iran, recognized as one of the country’s leading higher education institutions.
  • C. 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.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ab4c3c39188190955b9c49d98463d8 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdeede0488190a9782f55b57559ee completed March 7, 2026, 8:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8c890508190868f50f4e5e1d642 completed March 10, 2026, 9:47 a.m.
Created at: March 6, 2026, 10:01 p.m.