Triple
T19429779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Köppen BSk |
E486079
|
entity |
| Predicate | hasEvaporation |
P135856
|
FINISHED |
| Object | potential evapotranspiration exceeding precipitation |
—
|
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: potential evapotranspiration exceeding precipitation | Statement: [Köppen BSk, hasEvaporation, potential evapotranspiration exceeding precipitation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEvaporation Context triple: [Köppen BSk, hasEvaporation, potential evapotranspiration exceeding precipitation]
-
A.
hasMeltingMechanism
Indicates that an entity possesses a specific mechanism or process by which it melts or causes melting.
-
B.
hasErosionEffect
Indicates that one entity causes or exhibits an erosive impact or degradation effect on another entity or surface.
-
C.
hasErosionFeature
Indicates that one entity exhibits or contains a specific erosion-related feature or form resulting from erosional processes.
-
D.
hasBoilingCenter
Indicates that something possesses or contains a central region or core area where boiling occurs.
-
E.
hasCoolingFlow
Indicates that an entity is equipped with or utilizes a system or mechanism to remove heat or maintain a lower temperature through the flow of a cooling medium.
- F. None of above. chosen
Provenance (4 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6321c774881908ba5bde20abd5adc |
completed | April 20, 2026, 2:03 p.m. |
| PD | Predicate disambiguation | batch_69e4fd6e806081909053f325ba01ab6b |
completed | April 19, 2026, 4:06 p.m. |
| PDg | Predicate description generation | batch_69e5004c23308190a087b7941a90725f |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:37 p.m.