Triple
T8047961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Tehran |
E187601
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | دانشگاه تهران |
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: دانشگاه تهران | Statement: [University of Tehran, nativeName, دانشگاه تهران]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: دانشگاه تهران Context triple: [University of Tehran, nativeName, دانشگاه تهران]
-
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.
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_69ca82b15e948190a62fd7af5218426a |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f7711f48190af2002533c2e426a |
completed | March 31, 2026, 3:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d121b5cc1c819093109b22acacf98f |
completed | April 4, 2026, 2:35 p.m. |
Created at: March 30, 2026, 5:24 p.m.