Triple
T15092084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skaraborg County |
E360443
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Karlsborg
Karlsborg is a small Swedish locality best known for the historic Karlsborg Fortress on the shores of Lake Vättern.
|
E1198386
|
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: Karlsborg | Statement: [Skaraborg County, contains, Karlsborg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karlsborg Context triple: [Skaraborg County, contains, Karlsborg]
-
A.
Karlskrona
Karlskrona is a historic Swedish coastal city and naval base known for its well-preserved maritime architecture and UNESCO-listed naval port.
-
B.
Kalmar
Kalmar is a historic coastal city in southeastern Sweden known for its medieval castle, role in the Kalmar Union, and connection to the island of Öland.
-
C.
Karlbo
Karlbo is a small locality in Sweden best known as the birthplace of Nobel Prize–winning poet Erik Axel Karlfeldt.
-
D.
Kristianstad
Kristianstad is a historic city in southern Sweden known for its well-preserved Renaissance architecture and proximity to the wetlands of the Kristianstad Vattenrike Biosphere Reserve.
-
E.
Karlskoga
Karlskoga is an industrial town in central Sweden known for its historical association with Alfred Nobel and its role in the country’s arms and engineering industries.
- 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: Karlsborg Triple: [Skaraborg County, contains, Karlsborg]
Generated description
Karlsborg is a small Swedish locality best known for the historic Karlsborg Fortress on the shores of Lake Vättern.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karlsborg Target entity description: Karlsborg is a small Swedish locality best known for the historic Karlsborg Fortress on the shores of Lake Vättern.
-
A.
Karlskrona
Karlskrona is a historic Swedish coastal city and naval base known for its well-preserved maritime architecture and UNESCO-listed naval port.
-
B.
Kalmar
Kalmar is a historic coastal city in southeastern Sweden known for its medieval castle, role in the Kalmar Union, and connection to the island of Öland.
-
C.
Karlbo
Karlbo is a small locality in Sweden best known as the birthplace of Nobel Prize–winning poet Erik Axel Karlfeldt.
-
D.
Kristianstad
Kristianstad is a historic city in southern Sweden known for its well-preserved Renaissance architecture and proximity to the wetlands of the Kristianstad Vattenrike Biosphere Reserve.
-
E.
Karlskoga
Karlskoga is an industrial town in central Sweden known for its historical association with Alfred Nobel and its role in the country’s arms and engineering industries.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0027925788190b955fdc6626adf7d |
completed | April 15, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff78dab488190a89b9eb4f648b36c |
completed | May 10, 2026, 3:12 a.m. |
| NEDg | Description generation | batch_69fffb6d9f90819095c5d1a70b5c90a3 |
completed | May 10, 2026, 3:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fffbc0376c8190a9cae5dc3d941471 |
completed | May 10, 2026, 3:30 a.m. |
Created at: April 10, 2026, 3:04 a.m.