Triple

T8159801
Position Surface form Disambiguated ID Type / Status
Subject Jahrom Campus E190546 entity
Predicate name P16 FINISHED
Object Jahrom Campus E190546 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: Jahrom Campus | Statement: [Jahrom Campus, name, Jahrom Campus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jahrom Campus
Context triple: [Jahrom Campus, name, Jahrom Campus]
  • A. Jahrom Campus chosen
    Jahrom Campus is a regional branch of the University of Tehran that offers higher education programs and research opportunities in the city of Jahrom, Iran.
  • B. Karaj campus
    Karaj campus is a branch of the University of Tehran located in the city of Karaj, Iran, hosting various academic and research programs.
  • C. Amirabad Campus
    Amirabad Campus is one of the main campuses of the University of Tehran, housing several faculties, research centers, and student facilities in Tehran, Iran.
  • D. Qom campus
    Qom campus is a branch of the University of Tehran located in the city of Qom, Iran, offering academic programs and research activities under the university’s administration.
  • E. Bu-Ali Sina University
    Bu-Ali Sina University is a public higher education institution in Hamadan, Iran, known for its programs in sciences, engineering, and humanities.
  • 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_69ca82bfeb6481909d07b91b5cf69f59 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb45537d248190a0e998b6d336e6e1 completed March 31, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf2c22f0819085c686c005f49486 completed April 1, 2026, 6:46 a.m.
Created at: March 30, 2026, 5:38 p.m.