Triple

T22579093
Position Surface form Disambiguated ID Type / Status
Subject Isku Areena E544516 entity
Predicate hasCapacityIncludingStanding P148802 FINISHED
Object about 6000 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: about 6000 | Statement: [Isku Areena, hasCapacityIncludingStanding, about 6000]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCapacityIncludingStanding
Context triple: [Isku Areena, hasCapacityIncludingStanding, about 6000]
  • A. hasStandingCapacity
    Indicates that an entity is capable of maintaining or supporting a specified condition, function, or load on an ongoing basis.
  • B. hasSeatingCapacityWithStanding
    Indicates that an entity has a total seating capacity that explicitly includes standing room capacity as part of its overall accommodation.
  • C. standingCapacity
    Indicates the maximum number of people that are allowed or able to stand in a given space or vehicle.
  • D. hasCapacityTo
    Indicates that one entity possesses the ability, power, or potential to perform an action or bring about a particular effect in relation to another entity or context.
  • E. hasTemporarySeatingCapacity
    Indicates the number of seats that can be added or arranged temporarily for an entity, beyond its permanent seating capacity.
  • F. None of above. chosen

Provenance (4 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_69e11e30d05481909df915354c89f0d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f15fefa1308190876b617d47ba08f3 completed April 29, 2026, 1:33 a.m.
PD Predicate disambiguation batch_69ee626e6bb08190ada4dd8b48cc0c43 completed April 26, 2026, 7:07 p.m.
PDg Predicate description generation batch_69ee8841e9cc81908d23b34215e3be71 completed April 26, 2026, 9:48 p.m.
Created at: April 16, 2026, 8:53 p.m.