Triple
T17658165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glitterheim–Spiterstulen routes |
E440178
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Spiterstulen |
—
|
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: Spiterstulen | Statement: [Glitterheim–Spiterstulen routes, connects, Spiterstulen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spiterstulen Context triple: [Glitterheim–Spiterstulen routes, connects, Spiterstulen]
-
A.
Spiterstulen
chosen
Spiterstulen is a mountain lodge in Norway’s Jotunheimen region that serves as a key base for hikers and climbers exploring nearby peaks.
-
B.
Stetind
Stetind is a distinctive, obelisk-shaped granite mountain in Nordland, Norway, often called Norway’s national mountain and renowned among climbers and photographers.
-
C.
Stöllet
Stöllet is a small locality in central Sweden situated within Torsby Municipality in Värmland County.
-
D.
Kvernberget
Kvernberget is a hill and surrounding area in Kristiansund, Norway, known for giving its name to the nearby regional airport.
-
E.
Störnstein
Störnstein is a small municipality in the Upper Palatinate region of Bavaria, Germany.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea3b4cc81908eec7032cf221d49 |
completed | April 19, 2026, 5:56 a.m. |
Created at: April 10, 2026, 9:33 a.m.