Triple
T8113215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twenty Mule Team Canyon Road |
E189405
|
entity |
| Predicate | bestTimeForPhotography |
P81349
|
FINISHED |
| Object | early 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: early morning | Statement: [Twenty Mule Team Canyon Road, bestTimeForPhotography, early morning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestTimeForPhotography Context triple: [Twenty Mule Team Canyon Road, bestTimeForPhotography, early morning]
-
A.
bestTimeToSeeRainbows
Indicates the time or conditions under which rainbows are most likely or optimally observable.
-
B.
bestTimeForSunsetViews
Indicates the optimal time period during which sunset views are at their most visually appealing or enjoyable.
-
C.
bestTimeToVisitForWildlife
Indicates the most favorable time period to visit a place specifically for observing wildlife activity or diversity.
-
D.
popularTimeToVisit
Indicates the time period during which a place is most frequently visited or experiences peak visitor activity.
-
E.
associatedNightTiming
Indicates a relationship where an event, action, or condition is linked specifically to a time period occurring during the night.
- F. None of above. chosen
Provenance (4 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_69ca82baad008190ab2859712b9b1607 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4664fef881908b0dc7b158aca398 |
completed | March 31, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69cb368e7f4c81909aabd7716f0de79d |
completed | March 31, 2026, 2:50 a.m. |
| PDg | Predicate description generation | batch_69cb46635424819085d086972b264280 |
completed | March 31, 2026, 3:58 a.m. |
Created at: March 30, 2026, 5:32 p.m.