Triple
T18059673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Åhléns City |
E432137
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object |
Åhléns
Åhléns is a major Swedish department store chain offering a wide range of fashion, beauty, home, and lifestyle products.
|
E432137
|
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: Åhléns | Statement: [Åhléns City, ownedBy, Åhléns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Åhléns Context triple: [Åhléns City, ownedBy, Åhléns]
-
A.
Åhléns City
Åhléns City is a major multi-level department store and shopping complex in central Stockholm, known for its wide range of fashion, beauty, home goods, and lifestyle products.
-
B.
Rosendahl
Rosendahl is a municipality in the German state of North Rhine-Westphalia, known for its rural character and historic churches and castles.
-
C.
Skogrand
Skogrand is a small settlement located within the municipality of Nes in Akershus county, Norway.
-
D.
Hansnes
Hansnes is a small coastal village in northern Norway that serves as an administrative and ferry hub for the surrounding islands in Troms.
-
E.
Nordström
Nordström is a Swedish surname commonly associated with individuals of Scandinavian origin, including the economist and author Kjell A. Nordström.
- 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: Åhléns Triple: [Åhléns City, ownedBy, Åhléns]
Generated description
Åhléns is a major Swedish department store chain offering a wide range of fashion, beauty, home, and lifestyle products.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Åhléns Target entity description: Åhléns is a major Swedish department store chain offering a wide range of fashion, beauty, home, and lifestyle products.
-
A.
Åhléns City
chosen
Åhléns City is a major multi-level department store and shopping complex in central Stockholm, known for its wide range of fashion, beauty, home goods, and lifestyle products.
-
B.
Rosendahl
Rosendahl is a municipality in the German state of North Rhine-Westphalia, known for its rural character and historic churches and castles.
-
C.
Skogrand
Skogrand is a small settlement located within the municipality of Nes in Akershus county, Norway.
-
D.
Hansnes
Hansnes is a small coastal village in northern Norway that serves as an administrative and ferry hub for the surrounding islands in Troms.
-
E.
Nordström
Nordström is a Swedish surname commonly associated with individuals of Scandinavian origin, including the economist and author Kjell A. Nordström.
- F. None of above.
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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4c10583648190a161c58abf4853d5 |
completed | April 19, 2026, 11:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03566907988190aef2b0ceb2c9f4dc |
completed | May 12, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_6a03591fa4cc819084d1e50b7e5263cf |
completed | May 12, 2026, 4:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0359a3ead48190996d95ad5aaa2302 |
completed | May 12, 2026, 4:47 p.m. |
Created at: April 10, 2026, 10:26 a.m.