Triple
T15844954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bodø Harbour |
E384190
|
entity |
| Predicate | hasNearbyInfrastructure |
P231
|
FINISHED |
| Object | Bodø railway station |
E1150553
|
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: Bodø railway station | Statement: [Bodø Harbour, hasNearbyInfrastructure, Bodø railway station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bodø railway station Context triple: [Bodø Harbour, hasNearbyInfrastructure, Bodø railway station]
-
A.
Bodø Station
chosen
Bodø Station is the main railway terminus in the city of Bodø in northern Norway, serving as a key transport hub above the Arctic Circle.
-
B.
Oppdal Station
Oppdal Station is a railway station in the village of Oppdal, Norway, serving as a stop on the Dovre Line between Oslo and Trondheim.
-
C.
Slemdal station
Slemdal station is a stop on Oslo’s metro network located in the residential Slemdal area of the city.
-
D.
Lønsdal Station
Lønsdal Station is a railway station in Nordland county, Norway, serving the remote mountain area of Saltfjellet on the Nordland Line.
-
E.
Røros Station
Røros Station is a historic railway station in the town of Røros, Norway, serving as a key stop on the line connecting central and eastern parts of 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142eb20088190bb45e37ce3291ef2 |
completed | April 16, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa1412c9481909808473e14058033 |
completed | May 9, 2026, 9:04 p.m. |
Created at: April 10, 2026, 4:50 a.m.