Triple

T6946223
Position Surface form Disambiguated ID Type / Status
Subject Margaret Court Arena E160804 entity
Predicate seatingCapacityDuringConcerts P67553 FINISHED
Object approximately 7,500–10,000 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: approximately 7,500–10,000 | Statement: [Margaret Court Arena, seatingCapacityDuringConcerts, approximately 7,500–10,000]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: seatingCapacityDuringConcerts
Context triple: [Margaret Court Arena, seatingCapacityDuringConcerts, approximately 7,500–10,000]
  • A. concertCapacity chosen
    Indicates the maximum number of people that can be accommodated at a concert event or venue.
  • B. seatingCapacity
    Indicates the maximum number of people that something (typically a venue or vehicle) is designed or allowed to seat.
  • C. audienceCapacityType
    Indicates the classification or type of capacity used to describe how many audience members a venue or event space can accommodate.
  • D. typicalSeatingCapacityUpperBound
    Indicates the maximum number of seats that a venue or vehicle is typically designed or allowed to accommodate under normal conditions.
  • E. concertHallCapacityRange
    Indicates the range of audience sizes (minimum to maximum capacity) that a concert hall is designed or allowed to accommodate.
  • 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_69c68850419081909fb426b8f5a304c7 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dacca12481908942ba793a104cc3 completed March 27, 2026, 7:30 p.m.
PD Predicate disambiguation batch_69c6d7bf0a7c8190b5ed4aca22ba9b97 completed March 27, 2026, 7:17 p.m.
Created at: March 27, 2026, 2:28 p.m.