Triple
T9020783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruges railway station |
E215715
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Knokke |
E251947
|
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: Knokke | Statement: [Bruges railway station, connectsTo, Knokke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Knokke Context triple: [Bruges railway station, connectsTo, Knokke]
-
A.
Knokke-Heist
chosen
Knokke-Heist is a Belgian coastal resort town known for its beaches, upscale tourism, and proximity to the Dutch border.
-
B.
Edegem
Edegem is a municipality in the Belgian province of Antwerp, known as a residential suburb south of the city of Antwerp.
-
C.
Schaerbeek
Schaerbeek is a multicultural municipality in the Brussels-Capital Region of Belgium, known for its Art Nouveau architecture and urban character.
-
D.
Koekelberg
Koekelberg is a small municipality in the Brussels-Capital Region of Belgium, known for the National Basilica of the Sacred Heart that dominates its skyline.
-
E.
Roeselare
Roeselare is a city in western Belgium known as an economic and commercial center in the province of West Flanders.
- 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_69ca83a38aa88190bf1bb80c4548b5e2 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a43add08190983b7ac88576fd7e |
completed | April 1, 2026, 12:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d02fc332c881908847e70bee4695af |
completed | April 3, 2026, 9:23 p.m. |
Created at: March 30, 2026, 7:07 p.m.