Triple

T21307354
Position Surface form Disambiguated ID Type / Status
Subject Hossein Fatemi E525233 entity
Predicate educatedAt P5 FINISHED
Object University of Tehran NE NERFINISHED

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: [Hossein Fatemi, educatedAt, University of Tehran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University of Tehran
Context triple: [Hossein Fatemi, 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. Shiraz University
    Shiraz University is a major public research university and one of the leading higher education institutions in southern Iran.
  • C. University of Isfahan
    The University of Isfahan is a major public research university in Isfahan, Iran, known for its broad range of academic programs and role in educating prominent Iranian figures.
  • D. Golestan University
    Golestan University is a public higher education institution in Iran offering a range of undergraduate and graduate programs across multiple disciplines.
  • E. Qom University
    Qom University is a public higher education institution in the city of Qom, Iran, offering a range of undergraduate and graduate programs across various disciplines.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b518b8948190ad69cf9a8784d397 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75aa69b40819081e74c042e7cd105 completed April 21, 2026, 11:08 a.m.
Created at: April 16, 2026, 4:05 p.m.