Triple
T15302746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odda |
E365827
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Trolltunga |
E1130056
|
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: Trolltunga | Statement: [Odda, near, Trolltunga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trolltunga Context triple: [Odda, near, Trolltunga]
-
A.
Trolltunga
chosen
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.
-
B.
Preikestolen
Preikestolen is a famous steep cliff and viewpoint in southwestern Norway that towers over the Lysefjord and attracts many hikers and tourists.
-
C.
Årdalstangen
Årdalstangen is a village in Vestland county, Norway, known for its industrial activity and location at the end of the Årdalsfjorden.
-
D.
Setesdalsheiene
Setesdalsheiene is a mountainous plateau region in southern Norway known for its rugged terrain, hiking opportunities, and traditional upland landscapes.
-
E.
Flåm
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.
- 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_69ff01e47d8c8190844d45dda9a3e5ea |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:15 a.m.