Triple
T5828071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gjøvik Line |
E129277
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Vy Gjøvikbanen |
E562745
|
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: Vy Gjøvikbanen | Statement: [Gjøvik Line, operator, Vy Gjøvikbanen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vy Gjøvikbanen Context triple: [Gjøvik Line, operator, Vy Gjøvikbanen]
-
A.
Vy Gjøvikbanen
chosen
Vy Gjøvikbanen is a Norwegian railway company that operates passenger train services on the Gjøvik Line as part of the Vy transport group.
-
B.
Gjøvik Line
The Gjøvik Line is a Norwegian railway route connecting Oslo with the town of Gjøvik through the inland districts north of the capital.
-
C.
Trønderbanen
Trønderbanen is a regional railway line in Trøndelag, Norway, providing passenger train services that connect Trondheim with surrounding towns and communities.
-
D.
Drammen Line
The Drammen Line is a major Norwegian railway route connecting Oslo with the city of Drammen and serving as an important commuter and intercity corridor in the Oslo region.
-
E.
Meråkerbanen
Meråkerbanen is a Norwegian railway line in Trøndelag that connects Trondheim to the Swedish border, serving both passenger and freight traffic.
- 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_69c00849d55481908b4f9f5543e0bf6d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0341df8dc8190871af068e1f927a2 |
completed | March 22, 2026, 6:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5189fa210819097ed10fd854d20b1 |
completed | March 26, 2026, 11:29 a.m. |
Created at: March 22, 2026, 3:53 p.m.