Triple
T22015373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frogner Park |
E543693
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Frogner Stadium |
—
|
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: Frogner Stadium | Statement: [Frogner Park, hasPart, Frogner Stadium]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frogner Stadium Context triple: [Frogner Park, hasPart, Frogner Stadium]
-
A.
Frogner stadion
chosen
Frogner stadion is a sports stadium in Oslo, Norway, best known for its historic speed skating rink and multi-use sports facilities.
-
B.
Bislett Stadium
Bislett Stadium is a renowned multi-purpose sports venue in Oslo, Norway, best known for its historic track and field meets and speed skating events.
-
C.
Gjøvik Stadium
Gjøvik Stadium is a sports arena in Gjøvik, Norway, primarily used for football and athletics events.
-
D.
Vålerenga Stadion
Vålerenga Stadion is a football stadium in Oslo, Norway, serving as the home ground of the Vålerenga Fotball club.
-
E.
Aker Stadion
Aker Stadion is a football stadium in Molde, Norway, best known as the home ground of the Norwegian club Molde FK.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a774548190bcd98dc28f2d2c5f |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:22 p.m.