Triple

T23413325
Position Surface form Disambiguated ID Type / Status
Subject Hormizd I E560137 entity
Predicate associatedWith P37 FINISHED
Object city of Gundeshapur 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: city of Gundeshapur | Statement: [Hormizd I, associatedWith, city of Gundeshapur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Gundeshapur
Context triple: [Hormizd I, associatedWith, city of Gundeshapur]
  • A. Gundeshapur chosen
    Gundeshapur was a prominent Sasanian city in southwestern Iran renowned as a major center of learning, medicine, and philosophy in late antiquity.
  • B. Bishapur
    Bishapur was an ancient Sasanian city in southwestern Iran, renowned for its rock reliefs and archaeological remains that reflect a blend of Persian and Roman architectural influences.
  • C. city of Shushtar
    The city of Shushtar is a historic urban center in southwestern Iran, renowned for its ancient hydraulic system and distinctive local culture.
  • D. Ctesiphon
    Ctesiphon was an ancient metropolis on the Tigris River that served for centuries as the principal capital of the Parthian and later Sasanian Persian empires.
  • E. Arsanjan
    Arsanjan is a small city in southern Iran known for its agricultural activities and location within the historical and culturally rich Fars region.
  • 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_69e2454b3a5881909c64773dc8a5d289 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a513502881909f33a43bfd5e63a7 completed April 29, 2026, 6:28 a.m.
Created at: April 17, 2026, 5:39 p.m.