Triple

T17298147
Position Surface form Disambiguated ID Type / Status
Subject Dame Pattie Menzies E419964 entity
Predicate roleInEvents P4073 FINISHED
Object representative of Australia at official functions 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: representative of Australia at official functions | Statement: [Dame Pattie Menzies, roleInEvents, representative of Australia at official functions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleInEvents
Context triple: [Dame Pattie Menzies, roleInEvents, representative of Australia at official functions]
  • A. eventRole chosen
    Indicates the specific function, capacity, or part an entity plays within an event or occurrence.
  • B. roleInCalendar
    Indicates that an entity holds a specific role or function within the context of a particular calendar or scheduled event.
  • C. organizerRole
    Indicates that an entity has the role or responsibility of organizing an event, activity, or group.
  • D. roleInCommunity
    Indicates the function, position, or set of responsibilities an entity holds within a particular community or group.
  • E. individualEvents
    Indicates that the subject is associated with one or more distinct, separately identifiable events rather than a single aggregated or continuous occurrence.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e438f82788819088ea796850552297 completed April 19, 2026, 2:07 a.m.
PD Predicate disambiguation batch_69e3b0118ad08190b119cd219c68ba67 completed April 18, 2026, 4:23 p.m.
Created at: April 10, 2026, 5:41 a.m.