Triple
T10229718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kronoberg County |
E243306
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Lessebo
Lessebo is a small locality and municipality in southern Sweden known for its traditional paper mill and glassmaking heritage.
|
E851317
|
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: Lessebo | Statement: [Kronoberg County, contains, Lessebo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lessebo Context triple: [Kronoberg County, contains, Lessebo]
-
A.
Lofthus
Lofthus is a village in Norway’s Hardanger region, known for its fruit orchards, fjord scenery, and role as a gateway to hiking routes like the Hardangervidda plateau.
-
B.
Fredrikshald
Fredrikshald is the former name of the Norwegian town now known as Halden, a historic border city near Sweden noted for its fortress and role in Norwegian-Swedish conflicts.
-
C.
Sotra
Sotra is a large, populated island off the west coast of Norway, known for its rugged coastline, fishing communities, and proximity to the city of Bergen.
-
D.
Steenodde
Steenodde is a small coastal village on the North Sea island of Amrum in Germany, known for its tranquil atmosphere and maritime surroundings.
-
E.
Hisingen
Hisingen is a large island and district in Gothenburg, Sweden, known for its industrial areas, shipyards, and rapidly developing residential and tech hubs.
- 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: Lessebo Triple: [Kronoberg County, contains, Lessebo]
Generated description
Lessebo is a small locality and municipality in southern Sweden known for its traditional paper mill and glassmaking heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lessebo Target entity description: Lessebo is a small locality and municipality in southern Sweden known for its traditional paper mill and glassmaking heritage.
-
A.
Lofthus
Lofthus is a village in Norway’s Hardanger region, known for its fruit orchards, fjord scenery, and role as a gateway to hiking routes like the Hardangervidda plateau.
-
B.
Fredrikshald
Fredrikshald is the former name of the Norwegian town now known as Halden, a historic border city near Sweden noted for its fortress and role in Norwegian-Swedish conflicts.
-
C.
Sotra
Sotra is a large, populated island off the west coast of Norway, known for its rugged coastline, fishing communities, and proximity to the city of Bergen.
-
D.
Steenodde
Steenodde is a small coastal village on the North Sea island of Amrum in Germany, known for its tranquil atmosphere and maritime surroundings.
-
E.
Hisingen
Hisingen is a large island and district in Gothenburg, Sweden, known for its industrial areas, shipyards, and rapidly developing residential and tech hubs.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d1fcb1d081908173033594a6bfc9 |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f73610fc8190965c4e45a9deeac6 |
completed | April 9, 2026, 12:47 a.m. |
| NEDg | Description generation | batch_69d6fa2ea97081908395048218c0592b |
completed | April 9, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fcb5dc4c8190944a423a9d16a4b8 |
completed | April 9, 2026, 1:11 a.m. |
Created at: April 6, 2026, 11:19 a.m.