Triple
T5684195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santiago basin |
E125270
|
entity |
| Predicate | climateSubtype |
P29133
|
FINISHED |
| Object | Mediterranean with dry summers and wet winters |
—
|
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: Mediterranean with dry summers and wet winters | Statement: [Santiago basin, climateSubtype, Mediterranean with dry summers and wet winters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: climateSubtype Context triple: [Santiago basin, climateSubtype, Mediterranean with dry summers and wet winters]
-
A.
climatologicalType
chosen
Indicates the classification of a climate or weather pattern that characterizes a place, period, or condition.
-
B.
climateDriver
Indicates a factor or process that significantly influences or drives changes in climate conditions.
-
C.
hasClimate
Indicates that an entity possesses or is characterized by a particular type of climate or climatic conditions.
-
D.
preferredClimate
Indicates the type of climate that an entity favors or is most suited to.
-
E.
shareClimateZones
Indicates that two entities are located in regions classified under the same climate zone or zones.
- 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_69c0082a884c8190a79001bae658941f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0248751bc8190b12aaa42d1ef17e3 |
completed | March 22, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69c021be59088190a81c880957f666ab |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:44 p.m.