Triple

T22288904
Position Surface form Disambiguated ID Type / Status
Subject National Stadium, Warsaw E550938 entity
Predicate maximumCapacityWithStanding P89353 FINISHED
Object over 70,000 LITERAL 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: over 70,000 | Statement: [National Stadium, Warsaw, maximumCapacityWithStanding, over 70,000]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: maximumCapacityWithStanding
Context triple: [National Stadium, Warsaw, maximumCapacityWithStanding, over 70,000]
  • A. standingCapacity chosen
    Indicates the maximum number of people that are allowed or able to stand in a given space or vehicle.
  • B. hasSeatingCapacityWithStanding
    Indicates that an entity has a total seating capacity that explicitly includes standing room capacity as part of its overall accommodation.
  • C. typicalSeatingCapacityUpperBound
    Indicates the maximum number of seats that a venue or vehicle is typically designed or allowed to accommodate under normal conditions.
  • D. maximumPassengerCapacity
    Indicates the greatest number of passengers that an entity is designed or allowed to carry at one time.
  • E. officialCapacity
    Indicates that an action or relationship is undertaken or held by an entity in their formal, authorized, or institutional role rather than in a personal capacity.
  • F. None of above.

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_69e11e45fb848190a1b2ae21296e3a5f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15609854c81908adb7681cff2c404 completed April 29, 2026, 12:51 a.m.
PD Predicate disambiguation batch_69e72ffa438481908f80879aef2a589b completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 8:41 p.m.