Triple
T22752265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Molenbeek-Saint-Jean |
E562733
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Molenbeek |
E562733
|
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: Molenbeek | Statement: [Molenbeek-Saint-Jean, hasAlternativeName, Molenbeek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Molenbeek Context triple: [Molenbeek-Saint-Jean, hasAlternativeName, Molenbeek]
-
A.
Molenbeek-Saint-Jean
chosen
Molenbeek-Saint-Jean is a densely populated municipality in the Brussels-Capital Region of Belgium, known for its cultural diversity and proximity to the city center.
-
B.
Schaerbeek
Schaerbeek is a multicultural municipality in the Brussels-Capital Region of Belgium, known for its Art Nouveau architecture and urban character.
-
C.
Etterbeek
Etterbeek is a municipality in the Brussels-Capital Region of Belgium, known for its European Union institutions, urban character, and proximity to central Brussels.
-
D.
R.W.D. Molenbeek
R.W.D. Molenbeek is a Belgian professional football club based in Molenbeek-Saint-Jean, Brussels.
-
E.
Tervuren
Tervuren is a municipality in Flemish Brabant, Belgium, known for its historic park, royal connections, and the Royal Museum for Central Africa.
- 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179baa85881909140f41f2428cc98 |
completed | April 29, 2026, 3:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c23ce77e8819098246b0b588d7f52 |
completed | May 19, 2026, 8:48 a.m. |
Created at: April 17, 2026, 3:24 p.m.