Triple

T12019381
Position Surface form Disambiguated ID Type / Status
Subject Dyle E286107 entity
Predicate locatedIn P40 FINISHED
Object Flemish Region E214422 NE 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: Flemish Region | Statement: [Dyle, locatedIn, Flemish Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flemish Region
Context triple: [Dyle, locatedIn, Flemish Region]
  • A. Flemish Region chosen
    The Flemish Region is the Dutch-speaking northern part of Belgium, known for its dense urban centers, strong economy, and distinct cultural identity within the Belgian federation.
  • B. Flemish Brabant
    Flemish Brabant is a central Belgian province in the Flanders region, known for its mix of historic towns, rural landscapes, and proximity to Brussels.
  • C. Wallonia
    Wallonia is the predominantly French-speaking southern region of Belgium, known for its industrial heritage, cultural distinctiveness, and political autonomy within the Belgian federal state.
  • D. 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.
  • E. West Flanders
    West Flanders is a coastal province in the northwest of Belgium known for its historic towns, North Sea shoreline, and role in World War I.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903dabf2c819084dcaa05ae0a6018 completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6345319808190a68195e215c2bd80 completed May 2, 2026, 5:28 p.m.
Created at: April 8, 2026, 9:47 p.m.