Triple
T14881752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dalsland |
E350016
|
entity |
| Predicate | hasMajorLake |
P1025
|
FINISHED |
| Object |
Lelång
Lelång is a large freshwater lake in the Swedish province of Dalsland, known for its scenic forested shores and popular canoeing routes.
|
E1125723
|
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: Lelång | Statement: [Dalsland, hasMajorLake, Lelång]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lelång Context triple: [Dalsland, hasMajorLake, Lelång]
-
A.
Långlöt
Långlöt is a small locality on the island of Öland in southeastern Sweden, known for its rural landscape and traditional agricultural surroundings.
-
B.
Löningen
Löningen is a small town and municipality in Lower Saxony, Germany, known for its rural character and location within the Cloppenburg district.
-
C.
Selångersån
Selångersån is a river in Västernorrland County in northern Sweden that flows through the Sundsvall area into the Gulf of Bothnia.
-
D.
Lule
Lule is a music producer known for contributing to Nas’s Grammy-nominated hip-hop album "King's Disease II."
-
E.
Langevåg
Langevåg is a village in western Norway known for its coastal setting and proximity to the city of Ålesund.
- 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: Lelång Triple: [Dalsland, hasMajorLake, Lelång]
Generated description
Lelång is a large freshwater lake in the Swedish province of Dalsland, known for its scenic forested shores and popular canoeing routes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lelång Target entity description: Lelång is a large freshwater lake in the Swedish province of Dalsland, known for its scenic forested shores and popular canoeing routes.
-
A.
Långlöt
Långlöt is a small locality on the island of Öland in southeastern Sweden, known for its rural landscape and traditional agricultural surroundings.
-
B.
Löningen
Löningen is a small town and municipality in Lower Saxony, Germany, known for its rural character and location within the Cloppenburg district.
-
C.
Selångersån
Selångersån is a river in Västernorrland County in northern Sweden that flows through the Sundsvall area into the Gulf of Bothnia.
-
D.
Lule
Lule is a music producer known for contributing to Nas’s Grammy-nominated hip-hop album "King's Disease II."
-
E.
Langevåg
Langevåg is a village in western Norway known for its coastal setting and proximity to the city of Ålesund.
- 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.