Triple

T5170259
Position Surface form Disambiguated ID Type / Status
Subject Flag of Flanders E116658 entity
Predicate hasMottoRelation P23882 FINISHED
Object Vlaanderen leeft 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: Vlaanderen leeft | Statement: [Flag of Flanders, hasMottoRelation, Vlaanderen leeft]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMottoRelation
Context triple: [Flag of Flanders, hasMottoRelation, Vlaanderen leeft]
  • A. hasMottoContext
    Indicates that an entity’s motto is associated with or applies within a specific contextual setting or scope.
  • B. hasMottoLikeFunction
    Indicates that something serves a role or function similar to a motto, typically expressing a guiding principle, slogan, or core message.
  • C. hasMottoInText chosen
    Indicates that an entity has a motto expressed in a specific textual form or wording.
  • D. hasMottoRibbon
    Indicates that an entity features or is associated with a ribbon element specifically used to display a motto.
  • E. hasMottoOrigin
    Indicates that a motto originates from, or is derived from, a particular source, place, or context.
  • 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_69bd445ff97c81909a2615cc56235470 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd794f44248190a3a90c92208104a7 completed March 20, 2026, 4:43 p.m.
PD Predicate disambiguation batch_69bd77b36c008190b91011a9fa52b3d2 completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:45 p.m.