Triple
T10173245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dordrecht Stadspolders railway station |
E235784
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Qbuzz |
E741979
|
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: Qbuzz | Statement: [Dordrecht Stadspolders railway station, operator, Qbuzz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qbuzz Context triple: [Dordrecht Stadspolders railway station, operator, Qbuzz]
-
A.
Qbuzz
chosen
Qbuzz is a Dutch public transport company that operates regional and urban bus services in various parts of the Netherlands.
-
B.
Buzzr
Buzzr is an American digital multicast television network specializing in classic game shows from the mid-20th century onward.
-
C.
Buzz
Buzz is the nickname of Edwin "Buzz" Aldrin, the American astronaut who became the second person to walk on the Moon during the Apollo 11 mission.
-
D.
Buzz
Buzz is the yellow jacket costumed mascot of the Georgia Institute of Technology, known for energizing crowds at the university’s athletic and campus events.
-
E.
Buzz
Buzz is one of the official mascots of the Canadian Football League’s Winnipeg Blue Bombers, entertaining fans and representing the team at games and community events.
- 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_69ca84d1d5f88190ab878a1021ecff68 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec9f6dd8819081588600499165ee |
completed | April 2, 2026, 4:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3010c386481908bc0c985c0b5ff93 |
completed | April 6, 2026, 12:40 a.m. |
Created at: March 30, 2026, 9:10 p.m.