Triple
T138924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vernal Fall |
E2808
|
entity |
| Predicate | photoSubject |
P450
|
FINISHED |
| Object | iconic Yosemite waterfall |
—
|
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: iconic Yosemite waterfall | Statement: [Vernal Fall, photoSubject, iconic Yosemite waterfall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: photoSubject Context triple: [Vernal Fall, photoSubject, iconic Yosemite waterfall]
-
A.
capturedBy
Indicates that one entity has been seized, taken into control, or otherwise apprehended by another entity.
-
B.
depictsPerson
Indicates that one entity visually represents or portrays a specific person.
-
C.
captures
Indicates that one entity seizes, traps, or takes control of another entity, often preventing its escape or freedom.
-
D.
subjectMatter
chosen
Indicates the topic, theme, or content area that something (such as a work, document, or discussion) is about.
-
E.
blackAndWhite
Indicates that something is presented or exists in only black and white, without any other colors.
- 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_69a2521e35c08190b28e5c9f1e3c9b59 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257a800148190be119d1d075869b8 |
completed | Feb. 28, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69a2565426c08190aab68e34a6a2d60e |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.