Triple
T15501370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solna centrum |
E378960
|
entity |
| Predicate | adjacentStation |
P5707
|
FINISHED |
| Object |
Näckrosen
Näckrosen is a Stockholm metro station on the blue line located between Solna and Sundbyberg in the Stockholm metropolitan area.
|
E1160924
|
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: Näckrosen | Statement: [Solna centrum, adjacentStation, Näckrosen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Näckrosen Context triple: [Solna centrum, adjacentStation, Näckrosen]
-
A.
Lippische Rose
Lippische Rose is the German name for the heraldic rose symbol associated with the historic Principality of Lippe in Germany.
-
B.
Manglerud
Manglerud is a residential neighborhood in Oslo, Norway, known for its post-war housing, local sports culture, and proximity to green areas.
-
C.
Rosa Gryphus
Rosa Gryphus is a central character in Alexandre Dumas' novel "The Black Tulip," known for her devotion, courage, and pivotal role in aiding the protagonist amid political intrigue.
-
D.
Holmlia
Holmlia is a residential neighborhood in Oslo, Norway, known for its diverse population and location in the city's southeastern suburbs.
-
E.
Alströmer
Alströmer is a Swedish noble family name most notably associated with Jonas Alströmer, an 18th-century pioneer of Swedish agriculture and 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: Näckrosen Triple: [Solna centrum, adjacentStation, Näckrosen]
Generated description
Näckrosen is a Stockholm metro station on the blue line located between Solna and Sundbyberg in the Stockholm metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Näckrosen Target entity description: Näckrosen is a Stockholm metro station on the blue line located between Solna and Sundbyberg in the Stockholm metropolitan area.
-
A.
Lippische Rose
Lippische Rose is the German name for the heraldic rose symbol associated with the historic Principality of Lippe in Germany.
-
B.
Manglerud
Manglerud is a residential neighborhood in Oslo, Norway, known for its post-war housing, local sports culture, and proximity to green areas.
-
C.
Rosa Gryphus
Rosa Gryphus is a central character in Alexandre Dumas' novel "The Black Tulip," known for her devotion, courage, and pivotal role in aiding the protagonist amid political intrigue.
-
D.
Holmlia
Holmlia is a residential neighborhood in Oslo, Norway, known for its diverse population and location in the city's southeastern suburbs.
-
E.
Alströmer
Alströmer is a Swedish noble family name most notably associated with Jonas Alströmer, an 18th-century pioneer of Swedish agriculture and 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fcb4e8c81908e4ab463e3ae252b |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3669f908819087162b1b8a4e4320 |
completed | May 9, 2026, 1:28 p.m. |
| NEDg | Description generation | batch_69ff375856448190a61979dfff751f06 |
completed | May 9, 2026, 1:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff382f1bbc8190810d0d825430f9ea |
completed | May 9, 2026, 1:35 p.m. |
Created at: April 10, 2026, 3:54 a.m.