Triple
T15091993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eidsvoll municipality |
E360441
|
entity |
| Predicate | hasTransport |
P1298
|
FINISHED |
| Object | Eidsvoll Station |
E424205
|
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: Eidsvoll Station | Statement: [Eidsvoll municipality, hasTransport, Eidsvoll Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eidsvoll Station Context triple: [Eidsvoll municipality, hasTransport, Eidsvoll Station]
-
A.
Eidsvoll Station
chosen
Eidsvoll Station is a railway station in Eidsvoll, Norway, serving as a key stop on the country’s main rail routes.
-
B.
Blakstad station
Blakstad station is a small railway station in Norway that serves the local community of Blakstad with regional train connections.
-
C.
Skøyen Station
Skøyen Station is a major railway and commuter hub in Oslo, Norway, serving regional and local trains as part of the city's western transport corridor.
-
D.
Gjøvik Station
Gjøvik Station is a railway station in the town of Gjøvik, Norway, serving as the terminus for regional passenger services on the Gjøvik Line.
-
E.
Trondheim Central Station
Trondheim Central Station is the main railway hub in Trondheim, Norway, serving as a key junction for regional and long-distance train services across the country.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0027925788190b955fdc6626adf7d |
completed | April 15, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfde503881909ac042d665dfc24a |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 3:04 a.m.