Triple
T23003250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Den Haag–Gouda railway |
E572687
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Gouda station |
—
|
NE NERFINISHED |
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: Gouda station | Statement: [Den Haag–Gouda railway, hasStation, Gouda station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gouda station Context triple: [Den Haag–Gouda railway, hasStation, Gouda station]
-
A.
Gouda railway station
chosen
Gouda railway station is the main train station in the Dutch city of Gouda, serving as a regional hub connecting major routes between cities such as Rotterdam, The Hague, and Utrecht.
-
B.
Doetinchem station
Doetinchem station is a regional railway station in the Dutch town of Doetinchem, serving as a local transport hub in the province of Gelderland.
-
C.
Daan station
Daan station is a metro station in Taipei, Taiwan, serving as an interchange hub on the city’s rapid transit network.
-
D.
Beekkant station
Beekkant station is a Brussels Metro interchange station in the municipality of Molenbeek-Saint-Jean, serving multiple metro lines on the western side of the city.
-
E.
Sloterdijk station
Sloterdijk station is a major Amsterdam transport interchange that connects metro, train, tram, and bus services in the western part of the city.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e245b6a3ac81908087599eefe3e365 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183549bdc81908fdcd44e2c92f7c4 |
completed | April 29, 2026, 4:04 a.m. |
Created at: April 17, 2026, 3:50 p.m.