Triple

T8048514
Position Surface form Disambiguated ID Type / Status
Subject Azadi Stadium E187614 entity
Predicate formerName P65 FINISHED
Object Aryamehr Stadium E187614 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: Aryamehr Stadium | Statement: [Azadi Stadium, formerName, Aryamehr Stadium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aryamehr Stadium
Context triple: [Azadi Stadium, formerName, Aryamehr Stadium]
  • A. Azadi Stadium chosen
    Azadi Stadium is a massive multi-purpose sports arena in Tehran, Iran, best known as the country’s national football stadium and one of the largest stadiums in the world.
  • B. Rashid Stadium
    Rashid Stadium is a multi-purpose sports venue in Dubai, United Arab Emirates, best known for hosting football matches and serving as the home ground of Shabab Al Ahli Club.
  • C. Kassam Stadium
    Kassam Stadium is a football stadium in Oxford, England, best known as the home ground of Oxford United F.C.
  • D. Baba Yara Sports Stadium
    Baba Yara Sports Stadium is a major multi-purpose football stadium in Kumasi, Ghana, renowned as one of the country’s largest and most historic sporting venues.
  • E. Ahmed bin Ali Stadium
    Ahmed bin Ali Stadium is a modern football venue in Al Rayyan, Qatar, that was rebuilt and used as one of the host stadiums for the 2022 FIFA World Cup.
  • 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_69cc63d03c9481909ccddd9580216506 completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:24 p.m.