Triple
T20498770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Värtahamnen |
E503245
|
entity |
| Predicate | locatedInDistrict |
P40
|
FINISHED |
| Object | Gärdet |
—
|
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: Gärdet | Statement: [Värtahamnen, locatedInDistrict, Gärdet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gärdet Context triple: [Värtahamnen, locatedInDistrict, Gärdet]
-
A.
Gärdet
chosen
Gärdet is a large open parkland and residential area in central Stockholm, known for its green spaces, outdoor activities, and functionalist-era architecture.
-
B.
Hälsingegårdar
Hälsingegårdar are large, ornately decorated historic farmhouses in Sweden’s Hälsingland region, recognized as UNESCO World Heritage sites for their distinctive rural architecture and cultural significance.
-
C.
Grossgrunden
Grossgrunden is one of the islands in the Holmön archipelago off the coast of northern Sweden in the Gulf of Bothnia.
-
D.
Hellasgården
Hellasgården is a popular outdoor recreation area near Stockholm known for its forests, lakes, hiking trails, and traditional Swedish saunas.
-
E.
Gaten
Gaten is the first name of Gaten Matarazzo, an American actor best known for his role as Dustin Henderson on the Netflix series "Stranger Things."
- 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_69e0b4b1e52c8190894281cf7e3283ab |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cbff210819089900e9a35911f48 |
completed | April 20, 2026, 9:38 p.m. |
Created at: April 16, 2026, 11:35 a.m.