Triple
T15555680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geiranger |
E370860
|
entity |
| Predicate | hasViewpoint |
P854
|
FINISHED |
| Object | Flydalsjuvet |
E1153649
|
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: Flydalsjuvet | Statement: [Geiranger, hasViewpoint, Flydalsjuvet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flydalsjuvet Context triple: [Geiranger, hasViewpoint, Flydalsjuvet]
-
A.
Flydalsjuvet
chosen
Flydalsjuvet is a famous scenic viewpoint in Norway offering dramatic panoramic views over the Geirangerfjord and its surrounding mountains.
-
B.
Järla Sjö
Järla Sjö is a lake and residential area in the eastern suburbs of Stockholm, Sweden, known for its scenic waterfront setting within Nacka.
-
C.
MS Trollfjord
MS Trollfjord is a Norwegian coastal cruise ship operated by Hurtigruten, known for sailing the scenic routes along Norway’s coastline.
-
D.
Straumen
Straumen is a small settlement in Kvæfjord Municipality in Troms og Finnmark county in northern Norway.
-
E.
Straumen
Straumen is a village in Trøndelag county, Norway, serving as the main local hub for services and administration in the Inderøy area.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a97dbfc8190a98cbbac5e71ba88 |
completed | April 16, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff456427988190bddea01f5cb159d9 |
completed | May 9, 2026, 2:32 p.m. |
Created at: April 10, 2026, 4:09 a.m.