Triple
T14881753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dalsland |
E350016
|
entity |
| Predicate | hasMajorLake |
P1025
|
FINISHED |
| Object |
Råvarpen
Råvarpen is a lake in the Swedish province of Dalsland, known as part of the region’s interconnected inland water system.
|
E1125724
|
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: Råvarpen | Statement: [Dalsland, hasMajorLake, Råvarpen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Råvarpen Context triple: [Dalsland, hasMajorLake, Råvarpen]
-
A.
Storvreten
Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
-
B.
Storslett
Storslett is a small village and administrative center in Nordreisa Municipality in Troms og Finnmark county in northern Norway.
-
C.
Stäket
Stäket is a locality in the northern Stockholm region of Sweden, situated within Järfälla Municipality and known for its residential areas and proximity to Lake Mälaren.
-
D.
Långlöt
Långlöt is a small locality on the island of Öland in southeastern Sweden, known for its rural landscape and traditional agricultural surroundings.
-
E.
Brangäne
Brangäne is a loyal confidante and maid to Isolde in Richard Wagner’s opera "Tristan und Isolde," known for her protective role and the fateful substitution of a love potion.
- 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: Råvarpen Triple: [Dalsland, hasMajorLake, Råvarpen]
Generated description
Råvarpen is a lake in the Swedish province of Dalsland, known as part of the region’s interconnected inland water system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Råvarpen Target entity description: Råvarpen is a lake in the Swedish province of Dalsland, known as part of the region’s interconnected inland water system.
-
A.
Storvreten
Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
-
B.
Storslett
Storslett is a small village and administrative center in Nordreisa Municipality in Troms og Finnmark county in northern Norway.
-
C.
Stäket
Stäket is a locality in the northern Stockholm region of Sweden, situated within Järfälla Municipality and known for its residential areas and proximity to Lake Mälaren.
-
D.
Långlöt
Långlöt is a small locality on the island of Öland in southeastern Sweden, known for its rural landscape and traditional agricultural surroundings.
-
E.
Brangäne
Brangäne is a loyal confidante and maid to Isolde in Richard Wagner’s opera "Tristan und Isolde," known for her protective role and the fateful substitution of a love potion.
- 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.