Triple
T15078868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilson Peak |
E380081
|
entity |
| Predicate | isIconFor |
P30078
|
FINISHED |
| Object | Colorado mountain scenery |
—
|
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: Colorado mountain scenery | Statement: [Wilson Peak, isIconFor, Colorado mountain scenery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isIconFor Context triple: [Wilson Peak, isIconFor, Colorado mountain scenery]
-
A.
isIconicIn
Indicates that something is widely recognized as a defining or emblematic example within a particular context, domain, or location.
-
B.
iconOf
chosen
Indicates that one entity serves as a symbolic or representative image or emblem of another entity.
-
C.
hasIcons
Indicates that one entity possesses, includes, or is associated with one or more icons in relation to another entity or context.
-
D.
iconLabel
Indicates that a textual label or caption is associated with a specific icon.
-
E.
hasIconographicFigure
Indicates that one entity includes, depicts, or is associated with a particular iconographic figure in its visual or symbolic representation.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff7fe5a208190823900b25e298dab |
completed | April 15, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69deb9645b9c8190a5712456dbd78029 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:03 a.m.