Triple
T17283988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cordillera Negra |
E419603
|
entity |
| Predicate | snowline |
P101052
|
FINISHED |
| Object | higher than main summits |
—
|
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: higher than main summits | Statement: [Cordillera Negra, snowline, higher than main summits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: snowline Context triple: [Cordillera Negra, snowline, higher than main summits]
-
A.
snowLine
chosen
Indicates the altitude or boundary on a mountain or region above which snow persists year-round or seasonally.
-
B.
snowQuality
Indicates the condition or characteristics of the snow, such as its texture, depth, or suitability for a particular use.
-
C.
snowCover
Indicates that one entity is covered by or blanketed with snow.
-
D.
snowAccess
Indicates that one entity has the ability, permission, or means to access or traverse snow-covered areas in relation to another entity or context.
-
E.
snowAccumulation
Indicates that snow has collected or built up on a surface or in a location over time.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e4332bd324819080795152293d6d43 |
completed | April 19, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69e3832c3b98819091967ac7e91ba316 |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:40 a.m.