Triple
T21569174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Country Pass |
E532239
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Interrail |
—
|
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: Interrail | Statement: [One Country Pass, operator, Interrail]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Interrail Context triple: [One Country Pass, operator, Interrail]
-
A.
Interrail
chosen
Interrail is a European rail pass system that allows flexible, multi-country train travel across much of Europe, primarily for residents of European countries.
-
B.
Trans Europ Express
Trans Europ Express was a former network of high-quality international express trains that connected major cities across Western Europe from the late 1950s to the 1980s.
-
C.
RailBlazer
RailBlazer is a steel single-rail roller coaster at California’s Great America known for its tight maneuvers and dynamic, high-thrill layout.
-
D.
Eurail mobile app
The Eurail mobile app is a digital travel companion that lets Eurail pass holders plan rail journeys, access timetables, and manage their passes on mobile devices across Europe.
-
E.
ICE trains
ICE trains are Germany’s high-speed Intercity-Express passenger trains operated by Deutsche Bahn, known for fast long-distance connections across the country and into neighboring nations.
- 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_69e0c460db088190828c64206a450273 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eee9cb9718819094fc95b25df68bd1 |
completed | April 27, 2026, 4:44 a.m. |
Created at: April 16, 2026, 6:30 p.m.