Triple
T13798934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moelv |
E331587
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object | Moelv Station |
E1068464
|
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: Moelv Station | Statement: [Moelv, hasRailwayStation, Moelv Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moelv Station Context triple: [Moelv, hasRailwayStation, Moelv Station]
-
A.
Moelv Station
chosen
Moelv Station is a railway station serving the town of Moelv in Ringsaker, Innlandet county, Norway, on the Dovre Line.
-
B.
Rygge Station
Rygge Station is a railway station in Rygge, Norway, serving as a local and regional transport hub on the Østfold Line.
-
C.
Veitvet station
Veitvet station is a metro stop in Oslo, Norway, located in the Veitvet neighborhood and forming part of the city's rapid transit network.
-
D.
Hynnekleiv Station
Hynnekleiv Station is a railway station serving the village of Hynnekleiv in the municipality of Froland in Agder county, Norway.
-
E.
Hokksund Station
Hokksund Station is a railway station in Hokksund, Norway, serving as a local and regional transport hub on the country’s rail network.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025ce9148190b23370f6a522ff7a |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce68804881909546073eb72c504c |
completed | May 3, 2026, 10:38 p.m. |
Created at: April 9, 2026, 10:11 p.m.