Triple

T20550762
Position Surface form Disambiguated ID Type / Status
Subject Vlaenderen den Leeuw E504589 entity
Predicate hasComponent P35 FINISHED
Object Vlaenderen NE NERFINISHED

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: Vlaenderen | Statement: [Vlaenderen den Leeuw, hasComponent, Vlaenderen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vlaenderen
Context triple: [Vlaenderen den Leeuw, hasComponent, Vlaenderen]
  • A. Flanders chosen
    Flanders is the Dutch-speaking northern region of Belgium, known for its rich medieval cities, strong economy, and distinct cultural identity.
  • B. Flandes
    Flandes is a municipality and urban center in Colombia’s Tolima Department, located near the Magdalena River and known for its proximity to the city of Girardot.
  • C. Zeeuws-Vlaanderen
    Zeeuws-Vlaanderen is a coastal region in the southwestern Netherlands, bordering Belgium, known for its North Sea dikes, polders, and distinct Flemish-influenced culture.
  • D. Rijnland
    Rijnland is a historical region in the western Netherlands, centered around the lower Rhine delta and known for its extensive water management and polder landscapes.
  • E. Oost-Vlaanderen
    Oost-Vlaanderen is a province in the Flemish Region of Belgium, known for its historic cities such as Ghent and its role as an economic and cultural hub.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b52c048190952b4d0f430813a3 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a5d8b55081909c3e3e972aff846d completed April 20, 2026, 10:16 p.m.
Created at: April 16, 2026, 11:38 a.m.