Triple
T11031961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Double Arch |
E260777
|
entity |
| Predicate | photographyBestTime |
P81349
|
FINISHED |
| Object | morning |
—
|
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: morning | Statement: [Double Arch, photographyBestTime, morning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: photographyBestTime Context triple: [Double Arch, photographyBestTime, morning]
-
A.
bestTimeForPhotography
chosen
Indicates the most suitable or optimal time period for taking photographs, typically based on lighting or environmental conditions.
-
B.
bestTimeForSunsetViews
Indicates the optimal time period during which sunset views are at their most visually appealing or enjoyable.
-
C.
bestTimeToSeeRainbows
Indicates the time or conditions under which rainbows are most likely or optimally observable.
-
D.
photographyGenre
Indicates the specific genre or style of photography that characterizes a photographic work or activity.
-
E.
isPhotographicSubject
Indicates that an entity serves as the subject or main focus captured in a photograph taken by another entity.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797e58aec8190bb8ffdc71c0614d2 |
completed | April 9, 2026, 12:13 p.m. |
| PD | Predicate disambiguation | batch_69d7440087ac8190aef2e6f6b13b2635 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:25 p.m.