Triple
T5175876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brunnsviken |
E116796
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Hagaparken |
E493262
|
NE FINISHED |
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: [Brunnsviken, adjacentTo, Hagaparken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hagaparken Context triple: [Brunnsviken, adjacentTo, 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.
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.
Hunderfossen Family Park
Hunderfossen Family Park is a popular Norwegian amusement park near Lillehammer known for its fairy-tale theme, family-friendly rides, and attractions inspired by Norwegian folklore.
-
D.
Skansen
Skansen is an open-air museum and zoo in Stockholm that showcases traditional Swedish culture, architecture, and wildlife.
-
E.
Näsbypark
Näsbypark is a residential suburban district in the northern Stockholm area of Sweden, known for its villas, green spaces, and coastal location by the Baltic Sea.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd446140f08190becb93c61158f27f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd797349008190b87ad9d0d3eb667f |
completed | March 20, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed94e269481908118fd1af1fc6a44 |
completed | March 21, 2026, 5:45 p.m. |
Created at: March 20, 2026, 1:45 p.m.