Triple
T35451140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bergsbotn viewpoint |
E1024627
|
entity |
| Predicate | photogenicAt |
P49165
|
FINISHED |
| Object | midnight sun period (seasonal) |
—
|
LITERAL 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: midnight sun period (seasonal) | Statement: [Bergsbotn viewpoint, photogenicAt, midnight sun period (seasonal)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: photogenicAt Context triple: [Bergsbotn viewpoint, photogenicAt, midnight sun period (seasonal)]
-
A.
hasPhotogenicFeature
Indicates that an entity possesses a visual characteristic or attribute that is especially attractive or appealing when photographed.
-
B.
missPhotogenicWinner
Indicates that an entity is the winner of a Miss Photogenic title or award in a given context.
-
C.
isPhotographicSubject
Indicates that an entity serves as the subject or main focus captured in a photograph taken by another entity.
-
D.
isFrequentlyPhotographedAs
Indicates that one entity is commonly or repeatedly depicted in photographs in the role, appearance, or identity of another entity.
-
E.
hasPhotoSpot
chosen
Indicates that a location or entity includes or is associated with a designated place suitable for taking photographs.
- F. None of above.
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_69f76df92f108190817222e520e22268 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79da9f80c8190b0afd8509f28747b |
completed | May 3, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69f79617d40481909ba372f94209c08b |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:04 p.m.