Triple

T6740811
Position Surface form Disambiguated ID Type / Status
Subject New Stadium DAC E154073 entity
Predicate associatedWithStadiumCapacity P13599 FINISHED
Object Aviva Stadium capacity approximately 51,700 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: Aviva Stadium capacity approximately 51,700 | Statement: [New Stadium DAC, associatedWithStadiumCapacity, Aviva Stadium capacity approximately 51,700]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithStadiumCapacity
Context triple: [New Stadium DAC, associatedWithStadiumCapacity, Aviva Stadium capacity approximately 51,700]
  • A. stadiumCapacityApprox chosen
    Indicates an approximate number of people that a stadium can accommodate.
  • B. stadiumCapacityContext
    Indicates the seating capacity of a stadium as it applies within a specific contextual scope (such as time, event, or configuration).
  • C. associatedWithStadiumLocation
    Indicates a relationship where an entity is connected or linked to the location of a specific stadium.
  • D. homeStadiumCapacity
    Indicates the seating capacity of the stadium that serves as a team's or organization's home venue.
  • E. associatedWithCountryStadium
    Indicates that there is an association or connection between a country and a stadium, such as location, ownership, or primary use.
  • 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_69c6880d84d8819095d19de2295f26ac completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d18971e081908372cd25d52a11bd completed March 27, 2026, 6:50 p.m.
PD Predicate disambiguation batch_69c6d09067a0819087ed6c820f4699f8 completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:10 p.m.