Triple
T20659116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tinnelva |
E507708
|
entity |
| Predicate | hasWaterfall |
P13549
|
FINISHED |
| Object |
Tinnfoss
Tinnfoss is a notable waterfall on the Tinnelva river in Norway, known for its scenic cascades and surrounding natural landscape.
|
E1450607
|
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: Tinnfoss | Statement: [Tinnelva, hasWaterfall, Tinnfoss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tinnfoss Context triple: [Tinnelva, hasWaterfall, Tinnfoss]
-
A.
Vestfossen
Vestfossen is a village in Buskerud, Norway, known for its industrial heritage and contemporary art scene, including the Vestfossen Kunstlaboratorium.
-
B.
Tyssedal
Tyssedal is a small industrial village in Vestland county, Norway, known for its historic hydropower facilities and scenic location by the Sørfjorden.
-
C.
Tynset
Tynset is a rural municipality in Innlandet county, Norway, known for its vast mountain landscapes, agriculture, and role as a regional service center in the Østerdalen valley.
-
D.
Finnvollheia
Finnvollheia is a mountain that forms the highest point in the Fosen district of Trøndelag, Norway.
-
E.
Tinnsjå
Tinnsjå is a deep, mountainous lake in Telemark, Norway, known for its dramatic scenery and historical significance, including its role in World War II.
- 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: Tinnfoss Triple: [Tinnelva, hasWaterfall, Tinnfoss]
Generated description
Tinnfoss is a notable waterfall on the Tinnelva river in Norway, known for its scenic cascades and surrounding natural landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tinnfoss Target entity description: Tinnfoss is a notable waterfall on the Tinnelva river in Norway, known for its scenic cascades and surrounding natural landscape.
-
A.
Vestfossen
Vestfossen is a village in Buskerud, Norway, known for its industrial heritage and contemporary art scene, including the Vestfossen Kunstlaboratorium.
-
B.
Tyssedal
Tyssedal is a small industrial village in Vestland county, Norway, known for its historic hydropower facilities and scenic location by the Sørfjorden.
-
C.
Tynset
Tynset is a rural municipality in Innlandet county, Norway, known for its vast mountain landscapes, agriculture, and role as a regional service center in the Østerdalen valley.
-
D.
Finnvollheia
Finnvollheia is a mountain that forms the highest point in the Fosen district of Trøndelag, Norway.
-
E.
Tinnsjå
Tinnsjå is a deep, mountainous lake in Telemark, Norway, known for its dramatic scenery and historical significance, including its role in World War II.
- 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_6a08f8a685648190b39df6bbd4739b0b |
completed | May 16, 2026, 11:07 p.m. |
| NEDg | Description generation | batch_6a08f97974308190af0d39a3a2d6853a |
completed | May 16, 2026, 11:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08f9e50c6481908be5a61dab994012 |
completed | May 16, 2026, 11:12 p.m. |
Created at: April 16, 2026, 11:43 a.m.