Triple
T15575115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flåmsbana railway |
E374347
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object | Flåm |
E364971
|
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: Flåm | Statement: [Flåmsbana railway, terminus, Flåm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flåm Context triple: [Flåmsbana railway, terminus, Flåm]
-
A.
Flåm
chosen
Flåm is a small Norwegian village in Aurland municipality, best known for its dramatic fjord scenery and the scenic Flåm Railway that attracts many tourists.
-
B.
Geiranger
Geiranger is a small Norwegian village in the Sunnmøre region of Møre og Romsdal, renowned as a popular tourist destination surrounded by dramatic fjord and mountain scenery.
-
C.
Flåm Railway
Flåm Railway is a scenic Norwegian train line renowned for its steep mountain route, dramatic fjord landscapes, and status as one of the world’s most picturesque rail journeys.
-
D.
Dovre
Dovre is a mountainous municipality in Innlandet county, Norway, known for its rugged landscapes and proximity to Dovrefjell National Park.
-
E.
Nærøyfjord
Nærøyfjord is a narrow, dramatic branch of Norway’s Sognefjord and a UNESCO World Heritage Site renowned for its steep mountainsides, waterfalls, and picturesque fjord landscapes.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e2140388190a8df7b835eaa72ce |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56c231e0819083d6032eb21114b2 |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:10 a.m.