Triple

T6557414
Position Surface form Disambiguated ID Type / Status
Subject Zenne E152483 entity
Predicate region P40 FINISHED
Object Flanders E21312 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: Flanders | Statement: [Zenne, region, Flanders]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flanders
Context triple: [Zenne, region, Flanders]
  • 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. French Flanders
    French Flanders is a historical region in northern France, bordering Belgium, known for its Flemish cultural heritage and centered around cities such as Lille and Dunkirk.
  • D. 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.
  • E. Southern Netherlands
    The Southern Netherlands was a historical region in Western Europe roughly corresponding to present-day Belgium and Luxembourg, long contested between major powers such as Spain, Austria, France, and the Dutch Republic.
  • 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_69c688058d6881908c19b309cc55dbfa completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae1eb0888190a67b850ac2bca79c completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e40980d08190930db5f9ce577a0e completed March 27, 2026, 8:09 p.m.
Created at: March 27, 2026, 1:52 p.m.