Triple
T15360415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sykkylven |
E367273
|
entity |
| Predicate | hasMountain |
P10602
|
FINISHED |
| Object |
Råna
Råna is a prominent mountain in western Norway known for its scenic alpine landscapes and hiking opportunities.
|
E1174673
|
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: Råna | Statement: [Sykkylven, hasMountain, Råna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Råna Context triple: [Sykkylven, hasMountain, Råna]
-
A.
Rapadalen
Rapadalen is a renowned, remote river valley in northern Sweden known for its dramatic alpine scenery and rich wildlife within Sarek National Park.
-
B.
Røssåga
Røssåga is a river in Nordland county, Norway, known for flowing through Rana Municipality and being utilized for hydroelectric power production.
-
C.
Rådal
Rådal is a suburban area in Bergen, Norway, known as a residential and commercial district served by the city’s light rail system.
-
D.
Songdalen
Songdalen is a former municipality in Agder county, Norway, now part of the city of Kristiansand and known for its rural landscapes and proximity to the Songdalselva river.
-
E.
Steinråa
Steinråa is a small settlement located in Nannestad municipality in Viken county, Norway.
- 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: Råna Triple: [Sykkylven, hasMountain, Råna]
Generated description
Råna is a prominent mountain in western Norway known for its scenic alpine landscapes and hiking opportunities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Råna Target entity description: Råna is a prominent mountain in western Norway known for its scenic alpine landscapes and hiking opportunities.
-
A.
Rapadalen
Rapadalen is a renowned, remote river valley in northern Sweden known for its dramatic alpine scenery and rich wildlife within Sarek National Park.
-
B.
Røssåga
Røssåga is a river in Nordland county, Norway, known for flowing through Rana Municipality and being utilized for hydroelectric power production.
-
C.
Rådal
Rådal is a suburban area in Bergen, Norway, known as a residential and commercial district served by the city’s light rail system.
-
D.
Songdalen
Songdalen is a former municipality in Agder county, Norway, now part of the city of Kristiansand and known for its rural landscapes and proximity to the Songdalselva river.
-
E.
Steinråa
Steinråa is a small settlement located in Nannestad municipality in Viken county, Norway.
- 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_69ff8757325c8190ad97f50368862ca5 |
completed | May 9, 2026, 7:13 p.m. |
| NEDg | Description generation | batch_69ff87f0eed08190a0eaffb4a32f1eae |
completed | May 9, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff88ba20788190aeadd14e56c510db |
completed | May 9, 2026, 7:19 p.m. |
Created at: April 10, 2026, 3:18 a.m.