Triple
T38205813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jägala Waterfall |
E1009195
|
entity |
| Predicate | hasPhotogenicSeason |
P1014
|
FINISHED |
| Object | autumn |
—
|
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: autumn | Statement: [Jägala Waterfall, hasPhotogenicSeason, autumn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPhotogenicSeason Context triple: [Jägala Waterfall, hasPhotogenicSeason, autumn]
-
A.
hasPhotogenicFeature
Indicates that an entity possesses a visual characteristic or attribute that is especially attractive or appealing when photographed.
-
B.
hasPhotographicActivity
Indicates that one entity engages in or is involved with photographic activity in relation to another entity or context.
-
C.
hasPhotogenicProfileFrom
Indicates that an entity has a visually appealing or photogenic profile as captured or derived from a specified source or viewpoint.
-
D.
hasSeason
chosen
Indicates that an entity possesses, occurs during, or is associated with a particular season or set of seasons.
-
E.
hasPhotoSpot
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_69f76dc94fcc8190bd2f55e81f9d6527 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
Created at: May 3, 2026, 4:30 p.m.