Triple
T15360417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sykkylven |
E367273
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object |
Sykkylvselva
Sykkylvselva is a river in Sykkylven Municipality in Møre og Romsdal county, Norway, known for flowing through the Sykkylven valley into the Storfjorden.
|
E1154227
|
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: Sykkylvselva | Statement: [Sykkylven, hasRiver, Sykkylvselva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sykkylvselva Context triple: [Sykkylven, hasRiver, Sykkylvselva]
-
A.
Sykkylven
Sykkylven is a municipality in Møre og Romsdal county, Norway, known for its fjord landscape and strong furniture manufacturing industry.
-
B.
Timsälven
Timsälven is a river in central Sweden that flows through the Karlskoga area in Örebro County.
-
C.
Stetind
Stetind is a distinctive, obelisk-shaped granite mountain in Nordland, Norway, often called Norway’s national mountain and renowned among climbers and photographers.
-
D.
Skutvik
Skutvik is a small coastal village in Hamarøy Municipality in Nordland county, Norway, known as a ferry port linking the mainland with the Lofoten Islands.
-
E.
Follebu
Follebu is a village in Innlandet county, Norway, known for its rural setting and traditional Norwegian countryside character within Gausdal municipality.
- 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: Sykkylvselva Triple: [Sykkylven, hasRiver, Sykkylvselva]
Generated description
Sykkylvselva is a river in Sykkylven Municipality in Møre og Romsdal county, Norway, known for flowing through the Sykkylven valley into the Storfjorden.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sykkylvselva Target entity description: Sykkylvselva is a river in Sykkylven Municipality in Møre og Romsdal county, Norway, known for flowing through the Sykkylven valley into the Storfjorden.
-
A.
Sykkylven
Sykkylven is a municipality in Møre og Romsdal county, Norway, known for its fjord landscape and strong furniture manufacturing industry.
-
B.
Timsälven
Timsälven is a river in central Sweden that flows through the Karlskoga area in Örebro County.
-
C.
Stetind
Stetind is a distinctive, obelisk-shaped granite mountain in Nordland, Norway, often called Norway’s national mountain and renowned among climbers and photographers.
-
D.
Skutvik
Skutvik is a small coastal village in Hamarøy Municipality in Nordland county, Norway, known as a ferry port linking the mainland with the Lofoten Islands.
-
E.
Follebu
Follebu is a village in Innlandet county, Norway, known for its rural setting and traditional Norwegian countryside character within Gausdal municipality.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e4607408190ab281a7f7a8012d3 |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1343862481908962dfe0ab946b97 |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff143c0e448190b4775711ee7545d1 |
completed | May 9, 2026, 11:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff14e1a7b881909ad2ba0d35847ea1 |
completed | May 9, 2026, 11:05 a.m. |
Created at: April 10, 2026, 3:18 a.m.