Triple
T10429600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarpsfossen |
E245873
|
entity |
| Predicate | hasNameInNorwegian |
P24009
|
FINISHED |
| Object | Sarpsfossen |
E245873
|
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: Sarpsfossen | Statement: [Sarpsfossen, hasNameInNorwegian, Sarpsfossen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarpsfossen Context triple: [Sarpsfossen, hasNameInNorwegian, Sarpsfossen]
-
A.
Sarpsfossen waterfall
chosen
Sarpsfossen waterfall is one of Europe's most powerful waterfalls, historically important for Norway's timber and hydropower industries and a notable natural attraction in the Sarpsborg area.
-
B.
Hellefoss
Hellefoss is a hydroelectric dam and waterfall installation on the Drammenselva river in Norway.
-
C.
Ulefoss
Ulefoss is a village in Telemark, Norway, known for its historic ironworks industry and scenic location by the Telemark Canal.
-
D.
Månafossen waterfall
Månafossen waterfall is a dramatic, high free-falling waterfall in Rogaland, Norway, known for its scenic hiking access and rugged natural surroundings.
-
E.
Granfossen
Granfossen is a notable waterfall along the Lysakerelva river near Oslo, Norway, known for its scenic cascades in a wooded valley setting.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea4b4b5881908ae23f8efeea482b |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87eb068bc8190be9c7c916850278e |
completed | April 10, 2026, 4:38 a.m. |
Created at: April 6, 2026, 12:13 p.m.