Triple
T26886152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piestewa Peak |
E677045
|
entity |
| Predicate | hasSunsetViewsOf |
P76358
|
FINISHED |
| Object | Phoenix metropolitan area |
—
|
NE NERFINISHED |
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: Phoenix metropolitan area | Statement: [Piestewa Peak, hasSunsetViewsOf, Phoenix metropolitan area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSunsetViewsOf Context triple: [Piestewa Peak, hasSunsetViewsOf, Phoenix metropolitan area]
-
A.
hasSunsetView
chosen
Indicates that one entity offers a clear or notable view of the sunset from its location or perspective.
-
B.
hasScenicViewOf
Indicates that one entity offers a visually appealing or picturesque view of another entity.
-
C.
hasScenicViewpoints
Indicates that something includes or provides locations specifically intended for enjoying scenic or panoramic views.
-
D.
hasSummitViewsOf
Indicates that from the summit of one location, there are views overlooking or directed toward another location.
-
E.
bestTimeForSunsetViews
Indicates the optimal time period during which sunset views are at their most visually appealing or enjoyable.
- 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_69eee9bc0c90819085608c8bdc513a57 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f79f48acec8190a9d5964581a94f6c |
completed | May 3, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
Created at: April 27, 2026, 5:42 a.m.