Triple
T20611368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonnier Group |
E506455
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object |
Sydsvenskan
Sydsvenskan is a major Swedish daily newspaper based in Malmö, known for its regional and national news coverage.
|
E1439816
|
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: Sydsvenskan | Statement: [Bonnier Group, hasSubsidiary, Sydsvenskan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sydsvenskan Context triple: [Bonnier Group, hasSubsidiary, Sydsvenskan]
-
A.
Blekinge
Blekinge is a historical province in southern Sweden on the Baltic Sea coast, known for its archipelago, maritime heritage, and strategic location.
-
B.
Scania region
The Scania region is Sweden’s southernmost province, known for its fertile farmland, historic towns, and strategic location bridging Scandinavia and continental Europe.
-
C.
Skåne
Skåne is the southernmost historical province of Sweden, known for its fertile farmland, coastal landscapes, and cultural ties to both Sweden and Denmark.
-
D.
Innlandet
Innlandet is a county in eastern Norway known for its inland landscapes, including mountains, forests, and important winter sports venues.
-
E.
Innlandet
Innlandet is an island district of the Norwegian town of Kristiansund, known for its traditional wooden houses and coastal maritime character.
- 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: Sydsvenskan Triple: [Bonnier Group, hasSubsidiary, Sydsvenskan]
Generated description
Sydsvenskan is a major Swedish daily newspaper based in Malmö, known for its regional and national news coverage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sydsvenskan Target entity description: Sydsvenskan is a major Swedish daily newspaper based in Malmö, known for its regional and national news coverage.
-
A.
Blekinge
Blekinge is a historical province in southern Sweden on the Baltic Sea coast, known for its archipelago, maritime heritage, and strategic location.
-
B.
Scania region
The Scania region is Sweden’s southernmost province, known for its fertile farmland, historic towns, and strategic location bridging Scandinavia and continental Europe.
-
C.
Skåne
Skåne is the southernmost historical province of Sweden, known for its fertile farmland, coastal landscapes, and cultural ties to both Sweden and Denmark.
-
D.
Innlandet
Innlandet is a county in eastern Norway known for its inland landscapes, including mountains, forests, and important winter sports venues.
-
E.
Innlandet
Innlandet is an island district of the Norwegian town of Kristiansund, known for its traditional wooden houses and coastal maritime character.
- 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aad81bdc8190aa6f6164f406a468 |
completed | April 20, 2026, 10:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08b3f98e5c8190833d0e47b3e9585b |
completed | May 16, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_6a08b5a15a7c819099923f5a4d5f92c0 |
completed | May 16, 2026, 6:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08b603cd8481908780f4670dabf4a0 |
completed | May 16, 2026, 6:23 p.m. |
Created at: April 16, 2026, 11:41 a.m.