Triple
T2257154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lower Yosemite Fall Trail |
E49752
|
entity |
| Predicate | photographyOpportunity |
P33075
|
FINISHED |
| Object | views of entire Yosemite Falls |
—
|
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: views of entire Yosemite Falls | Statement: [Lower Yosemite Fall Trail, photographyOpportunity, views of entire Yosemite Falls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: photographyOpportunity Context triple: [Lower Yosemite Fall Trail, photographyOpportunity, views of entire Yosemite Falls]
-
A.
isPhotographicSubject
Indicates that an entity serves as the subject or main focus captured in a photograph taken by another entity.
-
B.
oftenPhotographedAt
Indicates that an entity is frequently the subject of photographs taken at a particular location or during a specific event.
-
C.
captures
Indicates that one entity seizes, traps, or takes control of another entity, often preventing its escape or freedom.
-
D.
photographedFrom
chosen
Indicates that one entity serves as the vantage point or location from which another entity is photographed.
-
E.
offersDayPlaces
Indicates that an entity provides or makes available daytime places or slots (e.g., for care, activities, or services) to others.
- 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_69a88aaa9250819095e127d0d77e8a32 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc1570dc88190bb2b17ed4c25dbb5 |
completed | March 7, 2026, 6:10 a.m. |
| PD | Predicate disambiguation | batch_69abbdb34c148190b51e99f540f97204 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:47 p.m.