Triple

T24635954
Position Surface form Disambiguated ID Type / Status
Subject Wei-Wu-Ying Opera House E609810 entity
Predicate seatingCapacityOfConcertHall P2491 FINISHED
Object about 1981 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 1981 | Statement: [Wei-Wu-Ying Opera House, seatingCapacityOfConcertHall, about 1981]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: seatingCapacityOfConcertHall
Context triple: [Wei-Wu-Ying Opera House, seatingCapacityOfConcertHall, about 1981]
  • A. concertCapacity
    Indicates the maximum number of people that can be accommodated at a concert event or venue.
  • B. seatingCapacity chosen
    Indicates the maximum number of people that something (typically a venue or vehicle) is designed or allowed to seat.
  • C. concertHallCapacityRange
    Indicates the range of audience sizes (minimum to maximum capacity) that a concert hall is designed or allowed to accommodate.
  • D. audienceCapacityType
    Indicates the classification or type of capacity used to describe how many audience members a venue or event space can accommodate.
  • E. venueCapacityApproximate
    Indicates an approximate or estimated capacity of a venue in terms of how many people it can 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_69e2c4d28f848190ac38c400060e943d completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f2be064ff88190b5d9e5ec75a41242 completed April 30, 2026, 2:27 a.m.
PD Predicate disambiguation batch_69f2a6d0ab708190b2e3b94dd20ca76b completed April 30, 2026, 12:48 a.m.
Created at: April 18, 2026, 2:32 a.m.