Triple
T18059827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vasastan |
E432140
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Vasaparken |
—
|
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: Vasaparken | Statement: [Vasastan, contains, Vasaparken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vasaparken Context triple: [Vasastan, contains, Vasaparken]
-
A.
Vasaparken
chosen
Vasaparken is a popular urban park in central Stockholm known for its open green spaces, playgrounds, and recreational areas.
-
B.
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.
-
C.
Stadsparken
Stadsparken is a central public park in Örebro, Sweden, known for its green spaces, walking paths, and recreational areas along the Svartån river.
-
D.
Sibelius Park
Sibelius Park is a popular Helsinki park best known for its striking Sibelius Monument dedicated to Finnish composer Jean Sibelius.
-
E.
Töölönlahti Park
Töölönlahti Park is a central waterfront green space in Helsinki known for its walking paths, cultural landmarks, and views around Töölö Bay.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4c10583648190a161c58abf4853d5 |
completed | April 19, 2026, 11:48 a.m. |
Created at: April 10, 2026, 10:26 a.m.