Triple

T1370784
Position Surface form Disambiguated ID Type / Status
Subject AFL Grand Final E30107 entity
Predicate ticketDemand P27056 FINISHED
Object high 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: high | Statement: [AFL Grand Final, ticketDemand, high]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ticketDemand
Context triple: [AFL Grand Final, ticketDemand, high]
  • A. ticketingCompatibleWith
    Indicates that two systems, services, or components can interoperate or be used together within the same ticketing or reservation workflow without conflict.
  • B. sellsTicketsUnder
    Indicates that one entity sells tickets at a price lower than or under the pricing of another entity.
  • C. hasTicketing
    Indicates that an entity provides or is associated with a system or mechanism for issuing, managing, or selling tickets.
  • D. hasTicketRequirement
    Indicates that an entity is subject to a specific ticket or admission requirement in order for access, participation, or use to be allowed.
  • E. ticketedAttraction
    Indicates that access to the attraction requires a purchased ticket or paid admission.
  • 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2d7b6008190bc0303b56959ba56 completed March 1, 2026, 10:51 p.m.
PD Predicate disambiguation batch_69a4befb08b88190be966fa1aadd4bcd completed March 1, 2026, 10:34 p.m.
PDg Predicate description generation batch_69a4bfc2134c81909cbaaa151d96e9a8 completed March 1, 2026, 10:37 p.m.
Created at: March 1, 2026, 7:57 p.m.