Triple

T36605277
Position Surface form Disambiguated ID Type / Status
Subject The Barnstormer E903027 entity
Predicate supportsVirtualQueue P132011 FINISHED
Object no 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: no | Statement: [The Barnstormer, supportsVirtualQueue, no]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsVirtualQueue
Context triple: [The Barnstormer, supportsVirtualQueue, no]
  • A. usesVirtualQueueSystem chosen
    Indicates that an entity manages access or service order through a virtual queuing mechanism rather than a traditional physical line.
  • B. virtualQueueName
    Indicates the name assigned to a specific virtual queue used to organize or route items, tasks, or participants.
  • C. usesQueue
    Indicates that one entity employs or relies on a queue mechanism to manage or process items, tasks, or messages.
  • D. requiresVirtualMachine
    Indicates that one entity depends on or must be run within a virtual machine provided by another entity in order to function or be valid.
  • E. supportsQualityOfService
    Indicates that one entity provides or enables quality-of-service guarantees or capabilities for another entity or interaction.
  • 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_69f76e66b7b88190848f7a3e1188915f completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a037c8e2c648190a65fc9c7872861af completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a0bf4b88190bdcfae9a14b51f0a completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:11 p.m.