Triple
T12077701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skylight |
E287593
|
entity |
| Predicate | vegetationNearSummit |
P953
|
FINISHED |
| Object | alpine and subalpine vegetation |
—
|
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: alpine and subalpine vegetation | Statement: [Skylight, vegetationNearSummit, alpine and subalpine vegetation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vegetationNearSummit Context triple: [Skylight, vegetationNearSummit, alpine and subalpine vegetation]
-
A.
vegetation
Indicates that an area or object is covered with, contains, or is characterized by plant life.
-
B.
nearbySummit
Indicates that one summit is located close to another summit in geographic space.
-
C.
endPointMountain
Indicates that a path, route, or boundary terminates at a mountain.
-
D.
vegetationType
chosen
Indicates the specific kind or category of plant cover or flora that characterizes a given area or environment.
-
E.
sideOfMountain
Indicates that one entity is located on or corresponds to a particular side or face of a mountain relative to 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bf4f508190842927e7e0642235 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:48 p.m.