Triple
T8641439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrondissement of Oudenaarde |
E204657
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Brakel |
E40512
|
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: Brakel | Statement: [Arrondissement of Oudenaarde, contains, Brakel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brakel Context triple: [Arrondissement of Oudenaarde, contains, Brakel]
-
A.
Brakel
Brakel is a small town in the Höxter district of North Rhine-Westphalia, Germany, known for its historic town center and rural surroundings.
-
B.
Brakel
chosen
Brakel is a municipality in the Flemish province of East Flanders, Belgium, known for its rural landscape and cycling-friendly hills in the Flemish Ardennes.
-
C.
Norbertus
Norbertus is a Latinized form of the given name Norbert, historically used in ecclesiastical and scholarly contexts.
-
D.
Robrecht
Robrecht is a Dutch and Flemish given name, cognate with Robert, traditionally borne by men in the Low Countries.
-
E.
Meesseman
Meesseman is the surname of Belgian professional basketball star Emma Meesseman, known for her success in European leagues and the WNBA.
- 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_69ca834ca1c88190a11ffb0200342fac |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4795b07081908bfc9ebf35a50f07 |
completed | March 31, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebc3b1f508190978df29d995f494c |
completed | April 2, 2026, 6:58 p.m. |
Created at: March 30, 2026, 6:28 p.m.