Triple
T13775502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Josse-ten-Noode |
E330994
|
entity |
| Predicate | locatedNextTo |
P231
|
FINISHED |
| Object | Schaerbeek |
E363736
|
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: Schaerbeek | Statement: [Saint-Josse-ten-Noode, locatedNextTo, Schaerbeek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schaerbeek Context triple: [Saint-Josse-ten-Noode, locatedNextTo, Schaerbeek]
-
A.
Schaerbeek
chosen
Schaerbeek is a multicultural municipality in the Brussels-Capital Region of Belgium, known for its Art Nouveau architecture and urban character.
-
B.
Bellebeek
Bellebeek is a small stream in Belgium that serves as a right-bank tributary of the River Dender.
-
C.
Diepenbeek
Diepenbeek is a municipality in the Belgian province of Limburg, known for its blend of residential areas, industry, and the campus of Hasselt University.
-
D.
Brussel-Zuid
Brussel-Zuid is the main international and one of the busiest railway stations in Brussels, serving high-speed and regional trains including Eurostar and Thalys services.
-
E.
Edegem
Edegem is a municipality in the Belgian province of Antwerp, known as a residential suburb south of the city of Antwerp.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0238bdbc8190a946e6e5431632a5 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a86afd788190ab637044dd489a24 |
completed | May 3, 2026, 7:56 p.m. |
Created at: April 9, 2026, 10:10 p.m.