Triple
T20659113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tinnelva |
E507708
|
entity |
| Predicate | hasWaterfall |
P13549
|
FINISHED |
| Object |
Svelgfoss
Svelgfoss is a notable waterfall on the Tinnelva river in Norway, known for its powerful flow and scenic surroundings.
|
E1442779
|
NE FINISHED |
How this triple was built (4 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: Svelgfoss | Statement: [Tinnelva, hasWaterfall, Svelgfoss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Svelgfoss Context triple: [Tinnelva, hasWaterfall, Svelgfoss]
-
A.
Hellefoss
Hellefoss is a hydroelectric dam and waterfall installation on the Drammenselva river in Norway.
-
B.
Geithusfossen
Geithusfossen is a waterfall in Norway known for hosting the Geithusfoss hydroelectric power station.
-
C.
Follafoss
Follafoss is a small village in Trøndelag county, Norway, known for its hydroelectric power plant and scenic fjord-side setting.
-
D.
Seljalandsfoss waterfall
Seljalandsfoss waterfall is one of Iceland’s most famous and picturesque waterfalls, known for its tall, narrow cascade and the unique footpath that allows visitors to walk behind the falling water.
-
E.
Herefoss
Herefoss is a small village in southern Norway, located in Birkenes municipality in Agder county.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Svelgfoss Triple: [Tinnelva, hasWaterfall, Svelgfoss]
Generated description
Svelgfoss is a notable waterfall on the Tinnelva river in Norway, known for its powerful flow and scenic surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Svelgfoss Target entity description: Svelgfoss is a notable waterfall on the Tinnelva river in Norway, known for its powerful flow and scenic surroundings.
-
A.
Hellefoss
Hellefoss is a hydroelectric dam and waterfall installation on the Drammenselva river in Norway.
-
B.
Geithusfossen
Geithusfossen is a waterfall in Norway known for hosting the Geithusfoss hydroelectric power station.
-
C.
Follafoss
Follafoss is a small village in Trøndelag county, Norway, known for its hydroelectric power plant and scenic fjord-side setting.
-
D.
Seljalandsfoss waterfall
Seljalandsfoss waterfall is one of Iceland’s most famous and picturesque waterfalls, known for its tall, narrow cascade and the unique footpath that allows visitors to walk behind the falling water.
-
E.
Herefoss
Herefoss is a small village in southern Norway, located in Birkenes municipality in Agder county.
- F. None of above. chosen
Provenance (5 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_69e0b4bf58c081908e52a4500e03ff83 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2eff7a88190be0bdea227616e02 |
completed | April 20, 2026, 11:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08c59bcd4c8190925addae1e67c5b4 |
completed | May 16, 2026, 7:29 p.m. |
| NEDg | Description generation | batch_6a08c6b50ea8819083ff85b85b2b6082 |
completed | May 16, 2026, 7:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08c7bf78b48190936455734ecf055d |
completed | May 16, 2026, 7:38 p.m. |
Created at: April 16, 2026, 11:43 a.m.