Triple

T12019384
Position Surface form Disambiguated ID Type / Status
Subject Dyle E286107 entity
Predicate flowsThrough P225 FINISHED
Object Antwerp Province E126820 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: Antwerp Province | Statement: [Dyle, flowsThrough, Antwerp Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antwerp Province
Context triple: [Dyle, flowsThrough, Antwerp Province]
  • A. Antwerp Province chosen
    Antwerp Province is a northern Belgian province in the Flemish Region, known for its capital city Antwerp, a major European port and cultural center.
  • B. 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.
  • C. Brabant
    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. 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.
  • E. Walloon Brabant
    Walloon Brabant is a predominantly French-speaking province in central Belgium known for its historic towns, universities, and proximity to Brussels.
  • 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_69f7b8bcbb34819088c21d79357eef8a completed May 3, 2026, 9:06 p.m.
Created at: April 8, 2026, 9:47 p.m.