Triple

T3705529
Position Surface form Disambiguated ID Type / Status
Subject Arthur Balfour E80882 entity
Predicate foreignSecretaryEnd P27592 FINISHED
Object 1919 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: 1919 | Statement: [Arthur Balfour, foreignSecretaryEnd, 1919]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: foreignSecretaryEnd
Context triple: [Arthur Balfour, foreignSecretaryEnd, 1919]
  • A. servedAsForeignSecretaryDuring
    Indicates that a person held the position of foreign secretary during a specified time period or under a particular administration.
  • B. servedAsForeignMinisterUntil chosen
    Indicates that an entity held the position of foreign minister up to a specified end date or point in time.
  • C. stateSecretary
    Indicates that one entity holds or is associated with the position of state secretary in relation to another entity (such as a government, state, or administration).
  • D. diplomaticRole
    Indicates that an entity holds or has held an official diplomatic position or function in relation to another entity or context.
  • E. typeOfDiplomaticRole
    Indicates the specific kind or category of diplomatic position or function that an entity holds in relation to another.
  • 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_69ad8b1793888190a5f70e4b21dc05a1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc54bbfcc8190bec9c16e3749c3b1 completed March 8, 2026, 6:51 p.m.
PD Predicate disambiguation batch_69adc041a8608190a2d543dab6d2ef6c completed March 8, 2026, 6:30 p.m.
Created at: March 8, 2026, 3:33 p.m.