Triple

T27424796
Position Surface form Disambiguated ID Type / Status
Subject Strombeek-Bever E690451 entity
Predicate administrativeRegion P285 FINISHED
Object province of Flemish Brabant
The province of Flemish Brabant is a Dutch-speaking province in the central part of Belgium, surrounding Brussels and known for its mix of urban centers, historic towns, and rural landscapes.
E1809870 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: province of Flemish Brabant | Statement: [Strombeek-Bever, administrativeRegion, province of Flemish Brabant]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: province of Flemish Brabant
Triple: [Strombeek-Bever, administrativeRegion, province of Flemish Brabant]
Generated description
The province of Flemish Brabant is a Dutch-speaking province in the central part of Belgium, surrounding Brussels and known for its mix of urban centers, historic towns, and rural landscapes.

Provenance (5 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_69ef52003fb48190b0f1295246182a86 completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62d53ad58819080c5227c7a729d15 completed May 2, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1606eb2658819082d0580313f153aa completed May 26, 2026, 8:47 p.m.
NEDg Description generation batch_6a160be48fc48190a447fef91a58282c completed May 26, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_6a160c61f0a88190800ca660556b612f completed May 26, 2026, 9:10 p.m.
Created at: April 27, 2026, 12:40 p.m.