Triple
T21200503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finnish State Railways |
E522441
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | VR |
—
|
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: VR | Statement: [Finnish State Railways, shortName, VR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VR Context triple: [Finnish State Railways, shortName, VR]
-
A.
VR
VR is a vehicle registration code used on license plates to identify vehicles registered in Bergen auf Rügen, Germany.
-
B.
VR
VR is the abbreviation used for the Volunteer Reserves, the part-time volunteer component of the British Armed Forces.
-
C.
VR
VR is the provincial code for the Province of Verona in the Veneto region of northern Italy.
-
D.
VR
chosen
VR is a Finnish state-owned railway company that operates most of Finland’s passenger and freight rail services.
-
E.
VRT
VRT is Belgium’s public-service broadcaster for the Flemish Community, providing television, radio, and online media.
- 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_69e0b5112d8881909510b2dcdc93106d |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73430c5a08190aeb6a62eec0f43a3 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 3:18 p.m.