Triple
T20725005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marche-en-Famenne |
E509410
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object | Marche-en-Famenne railway station |
—
|
NE NERFINISHED |
How this triple was built (3 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: Marche-en-Famenne railway station | Statement: [Marche-en-Famenne, hasRailwayStation, Marche-en-Famenne railway station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marche-en-Famenne railway station Context triple: [Marche-en-Famenne, hasRailwayStation, Marche-en-Famenne railway station]
-
A.
Binche railway station
Binche railway station is a train station in the town of Binche, Belgium, serving as a local hub for regional rail services.
-
B.
Gembloux railway station
Gembloux railway station is a Belgian train station in the town of Gembloux that serves as a regional stop on the busy corridor between Brussels and Namur.
-
C.
Nivelles railway station
Nivelles railway station is a Belgian train station serving the town of Nivelles in Walloon Brabant, providing regional and commuter rail connections.
-
D.
Namur railway station
Namur railway station is a major Belgian rail hub in the city of Namur, serving as an important junction for regional and intercity train services.
-
E.
Namur station
Namur station is a Montreal Metro station on the Orange Line serving the Côte-des-Neiges–Notre-Dame-de-Grâce borough.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marche-en-Famenne railway station Target entity description: Marche-en-Famenne railway station is a regional train station in the town of Marche-en-Famenne in Wallonia, Belgium, providing passenger rail connections within the surrounding area.
-
A.
Binche railway station
Binche railway station is a train station in the town of Binche, Belgium, serving as a local hub for regional rail services.
-
B.
Gembloux railway station
Gembloux railway station is a Belgian train station in the town of Gembloux that serves as a regional stop on the busy corridor between Brussels and Namur.
-
C.
Nivelles railway station
Nivelles railway station is a Belgian train station serving the town of Nivelles in Walloon Brabant, providing regional and commuter rail connections.
-
D.
Namur railway station
Namur railway station is a major Belgian rail hub in the city of Namur, serving as an important junction for regional and intercity train services.
-
E.
Namur station
Namur station is a Montreal Metro station on the Orange Line serving the Côte-des-Neiges–Notre-Dame-de-Grâce borough.
- F. None of above. chosen
Provenance (2 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_69e0b4c4cc648190b45fda6e2b20af56 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1e662f08190917ee043612d413e |
completed | April 21, 2026, 12:16 a.m. |
Created at: April 16, 2026, 12:29 p.m.