Triple
T35426595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kilimanjaro volcanic complex |
E1023936
|
entity |
| Predicate | glaciationTrend |
P79565
|
FINISHED |
| Object | rapid glacier retreat |
—
|
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: rapid glacier retreat | Statement: [Kilimanjaro volcanic complex, glaciationTrend, rapid glacier retreat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: glaciationTrend Context triple: [Kilimanjaro volcanic complex, glaciationTrend, rapid glacier retreat]
-
A.
glaciationCharacteristic
Indicates that one entity is a characteristic, feature, or property associated with the process or effects of glaciation of another entity.
-
B.
hasGlacialRetreat
chosen
Indicates that a glacier has decreased in size or extent over time, showing a retreat of its ice front or overall mass.
-
C.
glaciationCenter
Indicates the location that serves as the primary source or focal point from which glaciation originates or is organized.
-
D.
glaciersStatus
Indicates the current condition or state of glaciers, such as their size, stability, or rate of change.
-
E.
snowlineTrend
Indicates how the elevation or position of the snowline changes over time or under varying conditions.
- 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_69f76df6704081909900c60be10d5849 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f795933588819082ba3c1716b05d63 |
completed | May 3, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69f7910770108190bdd39ddb5d304f54 |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.