Triple
T22134298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Københavnsfreden (1660) |
E546985
|
entity |
| Predicate | appliesToTerritory |
P647
|
FINISHED |
| Object |
Bohuslen
Bohuslän is a historical coastal province in western Sweden along the Skagerrak, known for its rocky archipelago, fishing heritage, and former status as Norwegian territory.
|
E1519877
|
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: Bohuslen | Statement: [Københavnsfreden (1660), appliesToTerritory, Bohuslen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bohuslen Context triple: [Københavnsfreden (1660), appliesToTerritory, Bohuslen]
-
A.
Veleslavín
Veleslavín is a residential district in the northwestern part of Prague known for its transport connections and proximity to green areas.
-
B.
Dáďo
Dáďo is a Slovak diminutive or nickname commonly used for the male given name Dávid.
-
C.
Hrubá Borša
Hrubá Borša is a village and municipality in western Slovakia known for its residential development and golf resort near the town of Senec.
-
D.
Bochsa
Bochsa is the surname of Nicolas-Charles Bochsa, a 19th-century French composer, harpist, and influential music teacher.
-
E.
Blaskó
Blaskó is a Hungarian surname most famously borne by actor Béla Ferenc Dezső Blaskó, better known as Bela Lugosi.
- 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: Bohuslen Triple: [Københavnsfreden (1660), appliesToTerritory, Bohuslen]
Generated description
Bohuslän is a historical coastal province in western Sweden along the Skagerrak, known for its rocky archipelago, fishing heritage, and former status as Norwegian territory.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bohuslen Target entity description: Bohuslän is a historical coastal province in western Sweden along the Skagerrak, known for its rocky archipelago, fishing heritage, and former status as Norwegian territory.
-
A.
Veleslavín
Veleslavín is a residential district in the northwestern part of Prague known for its transport connections and proximity to green areas.
-
B.
Dáďo
Dáďo is a Slovak diminutive or nickname commonly used for the male given name Dávid.
-
C.
Hrubá Borša
Hrubá Borša is a village and municipality in western Slovakia known for its residential development and golf resort near the town of Senec.
-
D.
Bochsa
Bochsa is the surname of Nicolas-Charles Bochsa, a 19th-century French composer, harpist, and influential music teacher.
-
E.
Blaskó
Blaskó is a Hungarian surname most famously borne by actor Béla Ferenc Dezső Blaskó, better known as Bela Lugosi.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129b8f4248190b6342c8d00942c25 |
completed | April 28, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a8f2bd49c81908a75359074a0ada2 |
completed | May 18, 2026, 4:01 a.m. |
| NEDg | Description generation | batch_6a0a91ef8d188190a6ec20d6c43aef91 |
completed | May 18, 2026, 4:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a9266624c81908eb06a0fc02b85d4 |
completed | May 18, 2026, 4:15 a.m. |
Created at: April 16, 2026, 8:32 p.m.