Triple
T7579276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Dowager of Sweden |
E179443
|
entity |
| Predicate | SwedishName |
P11737
|
FINISHED |
| Object |
Drottningänka
Drottningänka is the Swedish term for a widowed queen, specifically referring to the queen dowager of Sweden.
|
E675044
|
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: Drottningänka | Statement: [Queen Dowager of Sweden, SwedishName, Drottningänka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drottningänka Context triple: [Queen Dowager of Sweden, SwedishName, Drottningänka]
-
A.
Kungsbacka
Kungsbacka is a town in southwestern Sweden known for its coastal location, historic wooden center, and role as a commuter hub for nearby Gothenburg.
-
B.
Kungsängen
Kungsängen is a locality in Stockholm County, Sweden, serving as the administrative and population center of Upplands-Bro Municipality.
-
C.
Kastlösa
Kastlösa is a small village on the island of Öland in southeastern Sweden, known for its rural landscape and traditional agricultural surroundings.
-
D.
Mårbacka
Mårbacka is the historic family estate and later home of Swedish author and Nobel laureate Selma Lagerlöf, now preserved as a museum in Värmland, Sweden.
-
E.
Lilla Edet
Lilla Edet is a small Swedish town in Västra Götaland County known for its location along the Göta älv river and its historic locks and paper industry.
- 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: Drottningänka Triple: [Queen Dowager of Sweden, SwedishName, Drottningänka]
Generated description
Drottningänka is the Swedish term for a widowed queen, specifically referring to the queen dowager of Sweden.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Drottningänka Target entity description: Drottningänka is the Swedish term for a widowed queen, specifically referring to the queen dowager of Sweden.
-
A.
Kungsbacka
Kungsbacka is a town in southwestern Sweden known for its coastal location, historic wooden center, and role as a commuter hub for nearby Gothenburg.
-
B.
Kungsängen
Kungsängen is a locality in Stockholm County, Sweden, serving as the administrative and population center of Upplands-Bro Municipality.
-
C.
Kastlösa
Kastlösa is a small village on the island of Öland in southeastern Sweden, known for its rural landscape and traditional agricultural surroundings.
-
D.
Mårbacka
Mårbacka is the historic family estate and later home of Swedish author and Nobel laureate Selma Lagerlöf, now preserved as a museum in Värmland, Sweden.
-
E.
Lilla Edet
Lilla Edet is a small Swedish town in Västra Götaland County known for its location along the Göta älv river and its historic locks and paper industry.
- 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_69c69f327db881909a21ae3b156f8ded |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f975bbc08190aec30f902eaea494 |
completed | March 27, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8616d87f881909fe23220dc77167c |
completed | March 28, 2026, 11:17 p.m. |
| NEDg | Description generation | batch_69c8625282bc8190bd1eecc13c1d4744 |
completed | March 28, 2026, 11:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8630fe8608190afc7b67d9a80240b |
completed | March 28, 2026, 11:24 p.m. |
Created at: March 27, 2026, 3:52 p.m.