Triple
T2404901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cook’s Meadow |
E50252
|
entity |
| Predicate | photographyHighlight |
P23855
|
FINISHED |
| Object | reflections of Yosemite Falls in standing water in spring |
—
|
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: reflections of Yosemite Falls in standing water in spring | Statement: [Cook’s Meadow, photographyHighlight, reflections of Yosemite Falls in standing water in spring]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: photographyHighlight Context triple: [Cook’s Meadow, photographyHighlight, reflections of Yosemite Falls in standing water in spring]
-
A.
hasPhotographicSignificance
chosen
Indicates that something holds notable importance or relevance in the context of photography, such as for documentation, artistic value, or visual record.
-
B.
highlights
Indicates that one entity draws special attention to, emphasizes, or visually marks another entity as important or noteworthy.
-
C.
isPhotographicSubject
Indicates that an entity serves as the subject or main focus captured in a photograph taken by another entity.
-
D.
captures
Indicates that one entity seizes, traps, or takes control of another entity, often preventing its escape or freedom.
-
E.
mediaMoment
Indicates a specific point or segment within a media item (such as a video, audio, or broadcast) where a notable event or action occurs.
- 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_69a88b0339a88190a1207333cd271cc9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abceab9ce881909ae0a2f34515c11e |
completed | March 7, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69abc5a530e8819094105aa92dfaf6b3 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:58 p.m.