Triple
T20666083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Evans |
E507888
|
entity |
| Predicate | isAccessibleByCarNearSummit |
P136111
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Mount Evans, isAccessibleByCarNearSummit, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAccessibleByCarNearSummit Context triple: [Mount Evans, isAccessibleByCarNearSummit, true]
-
A.
summitAccessibleFrom
Indicates that a summit can be reached or accessed starting from a specified location or route.
-
B.
hasScenicPassNearby
Indicates that a location is situated close to a notable scenic pass, such as a mountain or landscape viewpoint route.
-
C.
hasMountainPassNearby
Indicates that a mountain pass is located in close proximity to the referenced place or feature.
-
D.
hasSummitParking
chosen
Indicates that designated parking is available at or near the summit of a location or route.
-
E.
hasScenicAccessTo
Indicates that one place or object provides a visually appealing or notable view of another place or object.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5c39dd48190965d65537592aef6 |
completed | April 20, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69e5c0315f5081908098707c6455e56e |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 11:44 a.m.