Triple
T7358879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Køge Bay (1677) |
E169694
|
entity |
| Predicate | notableShip |
P3345
|
FINISHED |
| Object |
Tre Løver
Tre Løver was a Danish warship that took part in the 1677 Battle of Køge Bay during the Scanian War between Denmark-Norway and Sweden.
|
E658869
|
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: Tre Løver | Statement: [Battle of Køge Bay (1677), notableShip, Tre Løver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tre Løver Context triple: [Battle of Køge Bay (1677), notableShip, Tre Løver]
-
A.
Dovrebanen
Dovrebanen is a major Norwegian railway line connecting Oslo and Trondheim across the Dovrefjell mountain area.
-
B.
Vinderen
Vinderen is a residential neighborhood in Oslo, Norway, known for its affluent character, green surroundings, and convenient access to the city center.
-
C.
Tre Kronor
Tre Kronor is the iconic nickname of Sweden’s national men’s ice hockey team, renowned as one of the world’s top international hockey powers.
-
D.
Frygt og Bæven
Frygt og Bæven is a philosophical work by Søren Kierkegaard that explores the nature of faith, ethics, and the biblical story of Abraham and Isaac.
-
E.
Leijonat
Leijonat is the widely used Finnish nickname for Finland’s men’s national ice hockey team, literally meaning “The Lions.”
- 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: Tre Løver Triple: [Battle of Køge Bay (1677), notableShip, Tre Løver]
Generated description
Tre Løver was a Danish warship that took part in the 1677 Battle of Køge Bay during the Scanian War between Denmark-Norway and Sweden.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tre Løver Target entity description: Tre Løver was a Danish warship that took part in the 1677 Battle of Køge Bay during the Scanian War between Denmark-Norway and Sweden.
-
A.
Dovrebanen
Dovrebanen is a major Norwegian railway line connecting Oslo and Trondheim across the Dovrefjell mountain area.
-
B.
Vinderen
Vinderen is a residential neighborhood in Oslo, Norway, known for its affluent character, green surroundings, and convenient access to the city center.
-
C.
Tre Kronor
Tre Kronor is the iconic nickname of Sweden’s national men’s ice hockey team, renowned as one of the world’s top international hockey powers.
-
D.
Frygt og Bæven
Frygt og Bæven is a philosophical work by Søren Kierkegaard that explores the nature of faith, ethics, and the biblical story of Abraham and Isaac.
-
E.
Leijonat
Leijonat is the widely used Finnish nickname for Finland’s men’s national ice hockey team, literally meaning “The Lions.”
- 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_69c68a59f2288190877ca15c19b1e822 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f13db3488190ad35725c4fc60ffe |
completed | March 27, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7faaa8ec8819093bf6b4562472288 |
completed | March 28, 2026, 3:58 p.m. |
| NEDg | Description generation | batch_69c7fc5d7e5081908c9f7389f4dea1e0 |
completed | March 28, 2026, 4:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7fcb5f7f0819081e70f8809bb34ae |
completed | March 28, 2026, 4:07 p.m. |
Created at: March 27, 2026, 3:06 p.m.