Triple
T7619644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yavapai Point |
E172454
|
entity |
| Predicate | viewQuality |
P17987
|
FINISHED |
| Object | wide-angle canyon panorama |
—
|
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: wide-angle canyon panorama | Statement: [Yavapai Point, viewQuality, wide-angle canyon panorama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewQuality Context triple: [Yavapai Point, viewQuality, wide-angle canyon panorama]
-
A.
viewingIs
Indicates that one entity is engaged in the act or state of viewing, observing, or watching another entity.
-
B.
viewOver
chosen
Indicates that one entity has a visual perspective overlooking or facing another entity, typically providing a vantage point onto it.
-
C.
imageQuality
Indicates the assessed level or degree of visual clarity, detail, and overall fidelity of an image.
-
D.
storageQuality
Indicates the degree or standard of how well something is stored, such as its preservation, safety, or suitability for use.
-
E.
viewOnPerfection
Indicates a subject’s stance, belief, or interpretation regarding the nature or attainability of perfection.
- 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_69c699506b308190826894dab1d9ea86 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fe73ff7c8190ab1218d97b37416d |
completed | March 27, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e725a88190b1f05dd224f7f4f2 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:55 p.m.