Triple
T25755631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meili Snow Mountains |
E648586
|
entity |
| Predicate | climateThreat |
P16771
|
FINISHED |
| Object | glacier retreat due to climate change |
—
|
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: glacier retreat due to climate change | Statement: [Meili Snow Mountains, climateThreat, glacier retreat due to climate change]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: climateThreat Context triple: [Meili Snow Mountains, climateThreat, glacier retreat due to climate change]
-
A.
climateChangeEffect
chosen
Indicates how climate change influences or alters a particular entity, condition, or process.
-
B.
climateEventType
Indicates the specific kind or category of a climate-related event associated with an entity or occurrence.
-
C.
climate
Indicates a relationship where environmental or atmospheric conditions influence, shape, or characterize something (such as a place, system, or process).
-
D.
climateIndicator
Indicates that something serves as a measure or signal of the state, change, or impact of climate-related conditions.
-
E.
climateDependent
Indicates that the existence, behavior, or outcome of something is determined or significantly influenced by climatic 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_69e7ab314d788190b3abe19e114080e1 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fd82a170819092909e7f67e863b8 |
completed | May 2, 2026, 1:34 p.m. |
| PD | Predicate disambiguation | batch_69f4938262ac8190b41f922d0407d272 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 4:40 a.m.