Triple
T4945656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soestdijk railway station |
E111042
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Nederlandse Spoorwegen |
E28405
|
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: Nederlandse Spoorwegen | Statement: [Soestdijk railway station, operator, Nederlandse Spoorwegen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nederlandse Spoorwegen Context triple: [Soestdijk railway station, operator, Nederlandse Spoorwegen]
-
A.
Nederlandse Spoorwegen
chosen
Nederlandse Spoorwegen is the principal Dutch railway company responsible for most passenger train services across the Netherlands.
-
B.
ProRail
ProRail is the Dutch government-owned company responsible for managing and maintaining the national railway infrastructure in the Netherlands.
-
C.
SNCB/NMBS
SNCB/NMBS is the Belgian national railway company responsible for operating most passenger train services and managing much of the rail infrastructure in Belgium.
-
D.
Infrabel
Infrabel is the Belgian railway infrastructure manager responsible for the construction, maintenance, and operation of the national rail network.
-
E.
Deutsche Bahn
Deutsche Bahn is Germany's state-owned national railway company and one of the largest rail and logistics operators in Europe.
- 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_69bd441721cc819085c7e33fe0876818 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd70aa890c81908e685ec5e88cae1f |
completed | March 20, 2026, 4:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea46996c481908ec7b783ac9a20b1 |
completed | March 21, 2026, 2 p.m. |
Created at: March 20, 2026, 1:31 p.m.