Triple
T15040410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Söderort |
E378584
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Kärrtorp
Kärrtorp is a residential district in southern Stockholm, Sweden, known for its mid-20th-century architecture and proximity to green areas.
|
E1132941
|
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: Kärrtorp | Statement: [Söderort, hasPart, Kärrtorp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kärrtorp Context triple: [Söderort, hasPart, Kärrtorp]
-
A.
Löttorp
Löttorp is a small village and local service center located on the Baltic Sea island of Öland in southeastern Sweden.
-
B.
Kyrkslätt
Kyrkslätt is the Swedish name for Kirkkonummi, a coastal municipality in southern Finland located just west of Helsinki.
-
C.
Kårsta
Kårsta is a locality in Vallentuna Municipality, Sweden, known as the northern terminus of Stockholm’s Roslagsbanan narrow-gauge railway line.
-
D.
Ronneby
Ronneby is a historic town in southern Sweden known for its well-preserved wooden architecture, spa traditions, and scenic location in Blekinge County.
-
E.
Sandviken
Sandviken is an industrial town in central Sweden, best known as the historic home of the steel company Sandvik.
- 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: Kärrtorp Triple: [Söderort, hasPart, Kärrtorp]
Generated description
Kärrtorp is a residential district in southern Stockholm, Sweden, known for its mid-20th-century architecture and proximity to green areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kärrtorp Target entity description: Kärrtorp is a residential district in southern Stockholm, Sweden, known for its mid-20th-century architecture and proximity to green areas.
-
A.
Löttorp
Löttorp is a small village and local service center located on the Baltic Sea island of Öland in southeastern Sweden.
-
B.
Kyrkslätt
Kyrkslätt is the Swedish name for Kirkkonummi, a coastal municipality in southern Finland located just west of Helsinki.
-
C.
Kårsta
Kårsta is a locality in Vallentuna Municipality, Sweden, known as the northern terminus of Stockholm’s Roslagsbanan narrow-gauge railway line.
-
D.
Ronneby
Ronneby is a historic town in southern Sweden known for its well-preserved wooden architecture, spa traditions, and scenic location in Blekinge County.
-
E.
Sandviken
Sandviken is an industrial town in central Sweden, best known as the historic home of the steel company Sandvik.
- 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_69fe9de388508190bb0ecc04740cbe15 |
completed | May 9, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fe9f2b71808190b961193ae1ddebf0 |
completed | May 9, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe9fa89bd481909235d2ec377a0d8e |
completed | May 9, 2026, 2:44 a.m. |
Created at: April 10, 2026, 3 a.m.