Triple
T21557114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vilvoorde |
E531920
|
entity |
| Predicate | hasNeighbouringMunicipality |
P224
|
FINISHED |
| Object | Meise |
—
|
NE NERFINISHED |
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: Meise | Statement: [Vilvoorde, hasNeighbouringMunicipality, Meise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meise Context triple: [Vilvoorde, hasNeighbouringMunicipality, Meise]
-
A.
Meise
chosen
Meise is a municipality in the Belgian province of Flemish Brabant, known for hosting the National Botanic Garden of Belgium.
-
B.
Diegem
Diegem is a village in Flemish Brabant, Belgium, known for its proximity to Brussels Airport and its role as a commercial and office hub.
-
C.
Werchter
Werchter is a village in the Flemish Brabant province of Belgium, best known for hosting the annual Rock Werchter music festival.
-
D.
Ixelles
Ixelles is a vibrant, multicultural municipality of the Brussels-Capital Region in Belgium, known for its Art Nouveau architecture, lively student population, and cultural institutions.
-
E.
Auderghem
Auderghem is a residential municipality in the southeastern part of the Brussels-Capital Region in Belgium, known for its green spaces and proximity to major European institutions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c460232c81908de2c3819d17c00e |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eed2e04b048190ac3a9913094b4625 |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 16, 2026, 6:29 p.m.