Triple
T15360686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hellesylt |
E367279
|
entity |
| Predicate | hasNearbyWaterBody |
P1489
|
FINISHED |
| Object | Sunnylvsfjorden |
—
|
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: Sunnylvsfjorden | Statement: [Hellesylt, hasNearbyWaterBody, Sunnylvsfjorden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sunnylvsfjorden Context triple: [Hellesylt, hasNearbyWaterBody, Sunnylvsfjorden]
-
A.
Sunnylvsfjorden
chosen
Sunnylvsfjorden is a scenic fjord in western Norway, known for its dramatic landscapes and as a gateway to the famous Geirangerfjord region.
-
B.
Syltefjord
Syltefjord is a remote, narrow fjord on Norway’s Varanger Peninsula known for its dramatic coastal scenery and rich birdlife.
-
C.
Sandviksfjorden
Sandviksfjorden is a celebrated 19th-century Norwegian landscape painting by Hans Gude, depicting a coastal fjord scene with detailed maritime and atmospheric effects.
-
D.
Saudafjorden
Saudafjorden is a narrow, scenic fjord in Rogaland county, southwestern Norway, known for its steep mountainsides and industrial town of Sauda at its inner end.
-
E.
Steinsfjorden
Steinsfjorden is a lake in southeastern Norway, forming the northeastern arm of Tyrifjorden and known for its scenic surroundings and recreational activities.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e4607408190ab281a7f7a8012d3 |
completed | April 16, 2026, 1:41 a.m. |
Created at: April 10, 2026, 3:18 a.m.