Triple
T4446403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glomma |
E96298
|
entity |
| Predicate | hasWaterfall |
P13549
|
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: [Glomma, hasWaterfall, Sarpsfossen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarpsfossen Context triple: [Glomma, hasWaterfall, 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.
Sognsvann
Sognsvann is a popular recreational lake and surrounding forested area in northern Oslo, Norway, known for hiking, swimming, and outdoor activities.
-
D.
Døvikfoss power station
Døvikfoss power station is a hydroelectric power plant located on the Drammenselva river in Norway, generating renewable electricity from the river’s waterfall.
-
E.
Bøylefoss
Bøylefoss is a small settlement in the municipality of Froland in southern Norway, known historically for its waterfall and associated hydroelectric power development.
- 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_69b345415ba481908df738e7174448ba |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355d1eba08190899d0a3c1684ce4e |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b613850eb88190b689a632b0e2b374 |
completed | March 15, 2026, 2:03 a.m. |
Created at: March 12, 2026, 11:32 p.m.