Triple

T14510261
Position Surface form Disambiguated ID Type / Status
Subject Sports City, Doha E340377 entity
Predicate hasFacility P105 FINISHED
Object Aspire Dome E1036863 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: Aspire Dome | Statement: [Sports City, Doha, hasFacility, Aspire Dome]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aspire Dome
Context triple: [Sports City, Doha, hasFacility, Aspire Dome]
  • A. Aspire Dome chosen
    Aspire Dome is a large indoor multi-purpose sports arena in Doha, Qatar, known for hosting major international sporting events and training activities.
  • B. Angel of the Winds Arena
    Angel of the Winds Arena is a multi-purpose indoor sports and entertainment venue located in Everett, Washington.
  • C. Intility Arena
    Intility Arena is a modern football stadium in Oslo, Norway, primarily known as the home ground of Vålerenga Fotball.
  • D. ASISU Minidome
    ASISU Minidome was the original name of Holt Arena, an indoor multi-purpose stadium on the campus of Idaho State University in Pocatello, Idaho.
  • E. Artland Arena
    Artland Arena is a multi-purpose indoor sports and events venue located in Quakenbrück, Germany.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e5b7b48190878be271840c265b completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6da26a308190bf86ed1edbe8d57e completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.