Triple
T632355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brussels-Luxembourg railway station |
E15949
|
entity |
| Predicate | operatedBy |
P86
|
FINISHED |
| Object | SNCB/NMBS |
E78978
|
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: SNCB/NMBS | Statement: [Brussels-Luxembourg railway station, operatedBy, SNCB/NMBS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SNCB/NMBS Context triple: [Brussels-Luxembourg railway station, operatedBy, SNCB/NMBS]
-
A.
SNCB/NMBS
chosen
SNCB/NMBS is the Belgian national railway company responsible for operating most passenger train services and managing much of the rail infrastructure in Belgium.
-
B.
ProRail
ProRail is the Dutch government-owned company responsible for managing and maintaining the national railway infrastructure in the Netherlands.
-
C.
Nederlandse Spoorwegen
Nederlandse Spoorwegen is the principal Dutch railway company responsible for most passenger train services across the Netherlands.
-
D.
Thalys
Thalys is a high-speed international train service connecting major cities in France, Belgium, the Netherlands, and Germany.
-
E.
Brussels Metro
The Brussels Metro is the rapid transit system serving Belgium’s capital, forming the core of its urban public transportation network with multiple underground and light rail lines.
- 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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49ec2a4c08190bc5c6ce8a10b0967 |
completed | March 1, 2026, 8:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a56ef052308190bfaed448c3737ef6 |
completed | March 2, 2026, 11:05 a.m. |
Created at: March 1, 2026, 7:35 p.m.