Triple
T20708101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Myrdal |
E508956
|
entity |
| Predicate | nearbyPlace |
P2064
|
FINISHED |
| Object | Flåm |
—
|
NE NERFINISHED |
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: [Myrdal, nearbyPlace, Flåm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flåm Context triple: [Myrdal, nearbyPlace, 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.
Gåsefjord
Gåsefjord is a fjord in eastern Greenland’s Scoresby Sund region, known for its remote Arctic landscapes, ice-filled waters, and surrounding rugged mountains.
-
E.
Dovre
Dovre is a mountainous municipality in Innlandet county, Norway, known for its rugged landscapes and proximity to Dovrefjell National Park.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c40ad88190b81f77695366d328 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1952e888190877b79933970f7b0 |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 12:14 p.m.