Triple
T21569237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eurail B.V. |
E532240
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Eurail |
—
|
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: Eurail | Statement: [Eurail B.V., hasBrand, Eurail]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eurail Context triple: [Eurail B.V., hasBrand, Eurail]
-
A.
Eurail B.V.
chosen
Eurail B.V. is a company that manages and markets international rail pass products for train travel across Europe.
-
B.
Interrail
Interrail is a European rail pass system that allows flexible, multi-country train travel across much of Europe, primarily for residents of European countries.
-
C.
Francorail
Francorail was a French railway manufacturing consortium known for producing high-speed trainsets, including early models of the TGV.
-
D.
RegioJet
RegioJet is a Czech private transport company best known for operating long-distance and regional passenger train and bus services across Central Europe.
-
E.
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.
- 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.