Triple
T14881763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dalsland |
E350016
|
entity |
| Predicate | hasHighestPoint |
P210
|
FINISHED |
| Object |
Baljåsen
Baljåsen is a hill in western Sweden known as the highest natural point in the historical province of Dalsland.
|
E1125726
|
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: Baljåsen | Statement: [Dalsland, hasHighestPoint, Baljåsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baljåsen Context triple: [Dalsland, hasHighestPoint, Baljåsen]
-
A.
Follebu
Follebu is a village in Innlandet county, Norway, known for its rural setting and traditional Norwegian countryside character within Gausdal municipality.
-
B.
Ormåsen
Ormåsen is a small residential village in Øvre Eiker municipality in Buskerud county, Norway.
-
C.
Jordal
Jordal is a neighborhood in Oslo, Norway, known for its sports facilities and ice hockey heritage.
-
D.
Bekkestua
Bekkestua is a suburban center in Bærum, Norway, functioning as a local commercial and transport hub just west of Oslo.
-
E.
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.
- 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: Baljåsen Triple: [Dalsland, hasHighestPoint, Baljåsen]
Generated description
Baljåsen is a hill in western Sweden known as the highest natural point in the historical province of Dalsland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baljåsen Target entity description: Baljåsen is a hill in western Sweden known as the highest natural point in the historical province of Dalsland.
-
A.
Follebu
Follebu is a village in Innlandet county, Norway, known for its rural setting and traditional Norwegian countryside character within Gausdal municipality.
-
B.
Ormåsen
Ormåsen is a small residential village in Øvre Eiker municipality in Buskerud county, Norway.
-
C.
Jordal
Jordal is a neighborhood in Oslo, Norway, known for its sports facilities and ice hockey heritage.
-
D.
Bekkestua
Bekkestua is a suburban center in Bærum, Norway, functioning as a local commercial and transport hub just west of Oslo.
-
E.
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.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e7c0e48190af2d68a71130585c |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b591f3c81909ea8a9217d96e0d2 |
completed | May 8, 2026, 11:01 p.m. |
| NEDg | Description generation | batch_69fe6c55d6b88190b0f57009be962194 |
completed | May 8, 2026, 11:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe6e56e7e88190b70497e168d707de |
completed | May 8, 2026, 11:14 p.m. |
Created at: April 10, 2026, 1:56 a.m.