Triple
T15302243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Preikestolen |
E365816
|
entity |
| Predicate | hasNorwegianName |
P1435
|
FINISHED |
| Object | Preikestolen |
E365816
|
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: Preikestolen | Statement: [Preikestolen, hasNorwegianName, Preikestolen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Preikestolen Context triple: [Preikestolen, hasNorwegianName, Preikestolen]
-
A.
Preikestolen
chosen
Preikestolen is a famous steep cliff and viewpoint in southwestern Norway that towers over the Lysefjord and attracts many hikers and tourists.
-
B.
Trolltunga
Trolltunga is a dramatic rock formation jutting horizontally from a mountain above Lake Ringedalsvatnet in Norway, famous as a challenging hiking destination and iconic photo spot.
-
C.
Tungeneset viewpoint
Tungeneset viewpoint is a scenic coastal lookout on the island of Senja in Norway, known for its dramatic views of jagged mountains and the Norwegian Sea.
-
D.
Årdalstangen
Årdalstangen is a village in Vestland county, Norway, known for its industrial activity and location at the end of the Årdalsfjorden.
-
E.
Slottsfjellet
Slottsfjellet is a historic hill and former fortress site in Tønsberg, Norway, known for its medieval castle ruins and prominent tower overlooking the city.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ccd575c8190aa43262d3b73ef3c |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef89bb46481908f27fa98eb6ac5c3 |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:15 a.m.