Triple
T27403161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carstensz Glacier |
E691912
|
entity |
| Predicate | hasSnowlineTrend |
P5318
|
FINISHED |
| Object | rising |
—
|
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: rising | Statement: [Carstensz Glacier, hasSnowlineTrend, rising]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSnowlineTrend Context triple: [Carstensz Glacier, hasSnowlineTrend, rising]
-
A.
snowLine
Indicates the altitude or boundary on a mountain or region above which snow persists year-round or seasonally.
-
B.
hasSnowLineContext
Indicates the contextual relationship between an entity and the characteristics, conditions, or parameters of a snow line (such as its elevation, extent, or environmental setting).
-
C.
hasTrend
chosen
Indicates that something exhibits or is associated with a particular pattern of change or direction over time.
-
D.
hasSlopeFeature
Indicates that an entity possesses or is characterized by a particular slope-related property or feature.
-
E.
hasOnlineTrendType
Indicates that an entity is associated with a specific category or type of online trend.
- 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_69ef5205fc808190ad3efc5525b8e6d6 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f62cd4bd80819081454e99c3eec5a9 |
completed | May 2, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69f623aaf40081909f947431424a1d55 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 12:30 p.m.