Triple
T14881735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Värmland County |
E350015
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Säffle
Säffle is a small town in western Sweden known for its location along the Byälven River and its role as a local industrial and service center in Värmland.
|
E1182207
|
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: Säffle | Statement: [Värmland County, hasCity, Säffle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Säffle Context triple: [Värmland County, hasCity, Säffle]
-
A.
Karlshamn
Karlshamn is a coastal town in southern Sweden known for its harbor, archipelago, and role as a regional industrial and transport hub.
-
B.
Oskarshamn
Oskarshamn is a coastal town in southeastern Sweden known for its Baltic Sea harbor and proximity to the island of Gotland.
-
C.
Söderköping
Söderköping is a historic small town in eastern Sweden known for its picturesque old center and its location along the Göta Canal, a major 19th-century waterway.
-
D.
Strängnäs
Strängnäs is a historic Swedish town known for its medieval cathedral and picturesque location on the shores of Lake Mälaren.
-
E.
Falköping
Falköping is a small Swedish town known for its surrounding ancient burial mounds, rolling agricultural landscape, and location between the plateaus of Mösseberg and Ålleberg.
- 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: Säffle Triple: [Värmland County, hasCity, Säffle]
Generated description
Säffle is a small town in western Sweden known for its location along the Byälven River and its role as a local industrial and service center in Värmland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Säffle Target entity description: Säffle is a small town in western Sweden known for its location along the Byälven River and its role as a local industrial and service center in Värmland.
-
A.
Karlshamn
Karlshamn is a coastal town in southern Sweden known for its harbor, archipelago, and role as a regional industrial and transport hub.
-
B.
Oskarshamn
Oskarshamn is a coastal town in southeastern Sweden known for its Baltic Sea harbor and proximity to the island of Gotland.
-
C.
Söderköping
Söderköping is a historic small town in eastern Sweden known for its picturesque old center and its location along the Göta Canal, a major 19th-century waterway.
-
D.
Strängnäs
Strängnäs is a historic Swedish town known for its medieval cathedral and picturesque location on the shores of Lake Mälaren.
-
E.
Falköping
Falköping is a small Swedish town known for its surrounding ancient burial mounds, rolling agricultural landscape, and location between the plateaus of Mösseberg and Ålleberg.
- 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_69ffb02f505c81908e3982b67456e81c |
completed | May 9, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_69ffb0be9fa88190ab691c4c1d845ea9 |
completed | May 9, 2026, 10:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb12f3e4c8190be983f00ae1d5160 |
completed | May 9, 2026, 10:11 p.m. |
Created at: April 10, 2026, 1:56 a.m.