Triple
T15490299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger De Vlaeminck |
E378664
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Eeklo |
—
|
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: Eeklo | Statement: [Roger De Vlaeminck, placeOfBirth, Eeklo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eeklo Context triple: [Roger De Vlaeminck, placeOfBirth, Eeklo]
-
A.
Eeklo
chosen
Eeklo is a small city and municipality in northwestern Belgium known for its historic town center and location in the Flemish region.
-
B.
Deurne
Deurne is a district of the Belgian city of Antwerp, known for its residential neighborhoods and green spaces such as Rivierenhof park.
-
C.
Deurne
Deurne is a municipality in the Dutch province of North Brabant, known for its rural character and historic peat extraction areas.
-
D.
Steenokkerzeel
Steenokkerzeel is a municipality in the Belgian province of Flemish Brabant, known for its proximity to Brussels and its location near major transport infrastructure.
-
E.
Kortenhoef
Kortenhoef is a village in the Dutch province of North Holland, known for its lakes, peatlands, and scenic natural surroundings.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fac2af88190ac1d119e6b21dbe0 |
completed | April 16, 2026, 1:47 a.m. |
Created at: April 10, 2026, 3:48 a.m.