Triple
T27905574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cascade Mountain |
E705767
|
entity |
| Predicate | hasSummitAboveTreeLine |
P103080
|
FINISHED |
| Object | partially |
—
|
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: partially | Statement: [Cascade Mountain, hasSummitAboveTreeLine, partially]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSummitAboveTreeLine Context triple: [Cascade Mountain, hasSummitAboveTreeLine, partially]
-
A.
hasSummitAbove
Indicates that one summit is located at a higher elevation than another summit.
-
B.
summitAboveTreeline
chosen
Indicates that the summit of a landform is located above the natural treeline, where trees no longer grow due to environmental conditions.
-
C.
isSummitOf
Indicates that one entity is the highest point or peak (summit) of another entity, such as a mountain or structure.
-
D.
isAlpineSummit
Indicates that the subject is a mountain summit located within an alpine (high-mountain) environment.
-
E.
hasSummitElevationApprox
Indicates that an entity has an approximate elevation value for its summit or highest point.
- 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_69ef96b5aad08190be36a277c31e7004 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
Created at: April 27, 2026, 6:45 p.m.