Triple

T10520765
Position Surface form Disambiguated ID Type / Status
Subject Gilze en Rijen E248162 entity
Predicate localDialect P1762 FINISHED
Object Brabantian E213565 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: Brabantian | Statement: [Gilze en Rijen, localDialect, Brabantian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brabantian
Context triple: [Gilze en Rijen, localDialect, Brabantian]
  • A. Flemish Limburg
    Flemish Limburg is a province in northeastern Belgium known for its Dutch-speaking population, cycling routes, and mix of historic towns and rural landscapes.
  • 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. Brabant chosen
    Brabant is a historic region in Western Europe, now divided mainly between the Netherlands and Belgium, known for its rich medieval heritage and distinct cultural identity.
  • D. East Flemish
    East Flemish is a group of Dutch dialects spoken primarily in the East Flanders region of Belgium.
  • E. Dutch Limburg
    Dutch Limburg is a province in the southeastern Netherlands known for its hilly landscape, distinct Limburgish culture and language, and position bordering Belgium and Germany.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509dec25881909bc748640f26a416 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e119fe4819085e5c1c6e71e6260 completed April 10, 2026, 2:49 p.m.
Created at: April 6, 2026, 12:28 p.m.