Triple
T26323790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Köppen Dwa |
E662189
|
entity |
| Predicate | hasColdMonthTemperatureCriterion |
P107019
|
FINISHED |
| Object | coldest month temperature ≤ −3 °C |
—
|
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: coldest month temperature ≤ −3 °C | Statement: [Köppen Dwa, hasColdMonthTemperatureCriterion, coldest month temperature ≤ −3 °C]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColdMonthTemperatureCriterion Context triple: [Köppen Dwa, hasColdMonthTemperatureCriterion, coldest month temperature ≤ −3 °C]
-
A.
hasTemperatureCriterion
chosen
Indicates that something is associated with a specific temperature-based condition or requirement that must be met.
-
B.
isColderThan
Indicates that one entity has a lower temperature than another entity.
-
C.
hasMinTemperature
Indicates that something possesses or is associated with a specified minimum temperature value.
-
D.
hasColdPhase
Indicates that an entity undergoes or includes a period or stage characterized by low temperature or cold conditions.
-
E.
hasSummerTemperatureCode
Indicates that an entity is associated with a specific coded value representing its characteristic temperature conditions during the summer season.
- 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_69ee812e73048190aae587f1d51e5a06 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69fd7fdafbe881908a31fcb407af2c34 |
completed | May 8, 2026, 6:16 a.m. |
| PD | Predicate disambiguation | batch_69fd7ef0ea908190b5d83f71565bdb1c |
completed | May 8, 2026, 6:13 a.m. |
Created at: April 26, 2026, 10:29 p.m.