Triple
T11011553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gooi en Vechtstreek |
E260259
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Bussum |
E556836
|
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: Bussum | Statement: [Gooi en Vechtstreek, contains, Bussum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bussum Context triple: [Gooi en Vechtstreek, contains, Bussum]
-
A.
Bussum
chosen
Bussum is a town in the province of North Holland in the Netherlands, historically known as a residential and commuter community near Amsterdam.
-
B.
Breckerfeld
Breckerfeld is a small town in North Rhine-Westphalia, Germany, known for its rural character and location in the hilly, forested region of the Sauerland.
-
C.
Bentheim
Bentheim is a historical county in Lower Saxony, Germany, known for its Reformed Protestant heritage and the former County of Bentheim.
-
D.
Dülmen
Dülmen is a town in western Germany’s North Rhine-Westphalia, known for its location between Münster and the Ruhr area and for the wild Dülmen ponies in the nearby nature reserve.
-
E.
Unterneukirchen
Unterneukirchen is a municipality in the Altötting district of Bavaria, Germany, known for its rural character and location in southeastern Upper Bavaria.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797899a388190aa8fe813eac4dba7 |
completed | April 9, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e374ac78348190a8c0a5a7a736b24b |
completed | April 18, 2026, 12:10 p.m. |
Created at: April 8, 2026, 9:25 p.m.