Triple
T15040413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Söderort |
E378584
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Västertorp
Västertorp is a residential district in southern Stockholm, Sweden, known for its mid-20th-century architecture and public sculptures.
|
E1136095
|
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: Västertorp | Statement: [Söderort, hasPart, Västertorp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Västertorp Context triple: [Söderort, hasPart, Västertorp]
-
A.
Kärrtorp
Kärrtorp is a residential district in southern Stockholm, Sweden, known for its mid-20th-century architecture and proximity to green areas.
-
B.
Löttorp
Löttorp is a small village and local service center located on the Baltic Sea island of Öland in southeastern Sweden.
-
C.
Västerhaninge
Västerhaninge is a suburban locality in Stockholm County, Sweden, known as a residential community within the Haninge area.
-
D.
Sandviken
Sandviken is an industrial town in central Sweden, best known as the historic home of the steel company Sandvik.
-
E.
Västberga
Västberga is an industrial and residential district in southern Stockholm, Sweden, known for its warehouses, logistics centers, and proximity to major transport routes.
- 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: Västertorp Triple: [Söderort, hasPart, Västertorp]
Generated description
Västertorp is a residential district in southern Stockholm, Sweden, known for its mid-20th-century architecture and public sculptures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Västertorp Target entity description: Västertorp is a residential district in southern Stockholm, Sweden, known for its mid-20th-century architecture and public sculptures.
-
A.
Kärrtorp
Kärrtorp is a residential district in southern Stockholm, Sweden, known for its mid-20th-century architecture and proximity to green areas.
-
B.
Löttorp
Löttorp is a small village and local service center located on the Baltic Sea island of Öland in southeastern Sweden.
-
C.
Västerhaninge
Västerhaninge is a suburban locality in Stockholm County, Sweden, known as a residential community within the Haninge area.
-
D.
Sandviken
Sandviken is an industrial town in central Sweden, best known as the historic home of the steel company Sandvik.
-
E.
Västberga
Västberga is an industrial and residential district in southern Stockholm, Sweden, known for its warehouses, logistics centers, and proximity to major transport routes.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82e79a481908ddb9609af8c4407 |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5b75c04819085996a7f88ab6c38 |
completed | May 9, 2026, 3:10 a.m. |
| NEDg | Description generation | batch_69fea9f91f3c8190bff7dc7a028a382b |
completed | May 9, 2026, 3:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feaa469df88190b7f08de78613121d |
completed | May 9, 2026, 3:30 a.m. |
Created at: April 10, 2026, 3 a.m.