Triple
T12166564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gare du Midi – Zuidstation |
E289845
|
entity |
| Predicate | isAlsoKnownAs |
P39
|
FINISHED |
| Object | Brussel-Zuid |
E690703
|
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: Brussel-Zuid | Statement: [Gare du Midi – Zuidstation, isAlsoKnownAs, Brussel-Zuid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brussel-Zuid Context triple: [Gare du Midi – Zuidstation, isAlsoKnownAs, Brussel-Zuid]
-
A.
Brussel-Zuid
chosen
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.
-
B.
Schaerbeek
Schaerbeek is a multicultural municipality in the Brussels-Capital Region of Belgium, known for its Art Nouveau architecture and urban character.
-
C.
Borgerhout
Borgerhout is a densely populated, multicultural district of the Belgian city of Antwerp, known for its vibrant street life and diverse communities.
-
D.
Edegem
Edegem is a municipality in the Belgian province of Antwerp, known as a residential suburb south of the city of Antwerp.
-
E.
Bellebeek
Bellebeek is a small stream in Belgium that serves as a right-bank tributary of the River Dender.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d7109481908bf5fe512bba3c89 |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63ee46e608190ac824c3c8306013e |
completed | May 2, 2026, 6:13 p.m. |
Created at: April 8, 2026, 9:50 p.m.