Triple
T18414045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norrtull |
E441840
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Hagaparken |
—
|
NE NERFINISHED |
How this triple was built (2 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: Hagaparken | Statement: [Norrtull, locatedNear, Hagaparken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hagaparken Context triple: [Norrtull, locatedNear, Hagaparken]
-
A.
Hagaparken
chosen
Hagaparken is a large historic park in Solna just north of Stockholm, Sweden, known for its English landscape design, royal pavilions, and recreational green spaces.
-
B.
Kungsparken
Kungsparken is a historic and centrally located public park in Malmö, Sweden, known for its lush greenery, canals, and 19th-century landscape design.
-
C.
Grugapark
Grugapark is a large public park and botanical garden in Essen, Germany, known for its extensive green spaces, themed gardens, and recreational facilities.
-
D.
Kronobergsparken
Kronobergsparken is a large, hilly public park in the Kungsholmen district of central Stockholm, known for its green spaces, playgrounds, and views over the city.
-
E.
Humlegården park
Humlegården park is a large historic green space in central Stockholm, Sweden, known for its tree-lined paths, lawns, and recreational areas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a26d268819098e6791dc98efcda |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 10:47 a.m.