Triple
T8871169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malaspina Glacier (portion) |
E211157
|
entity |
| Predicate | hasClimateSetting |
P193
|
FINISHED |
| Object | subarctic maritime climate |
—
|
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: subarctic maritime climate | Statement: [Malaspina Glacier (portion), hasClimateSetting, subarctic maritime climate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClimateSetting Context triple: [Malaspina Glacier (portion), hasClimateSetting, subarctic maritime climate]
-
A.
settingClimate
Indicates that an entity adjusts or defines the climate or environmental conditions for another entity or context.
-
B.
hasClimate
chosen
Indicates that an entity possesses or is characterized by a particular type of climate or climatic conditions.
-
C.
hasClimateContext
Indicates that something is associated with, influenced by, or relevant to climate-related conditions, factors, or considerations.
-
D.
hasTemperature
Indicates that an entity possesses or is characterized by a specific temperature value.
-
E.
climateControlFeature
Indicates that an entity includes or supports a function or system for regulating environmental conditions such as temperature, humidity, or airflow.
- 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_69ca838d3c7c8190a849566d5afd2b11 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6126d2f88190979ab25772ee657c |
completed | April 1, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2956788190a311c647b4da17a6 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:51 p.m.