Triple
T24606963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mediterranean climate zone |
E609001
|
entity |
| Predicate | hasTypicalWinterTemperature |
P17371
|
FINISHED |
| Object | generally between 4 °C and 13 °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: generally between 4 °C and 13 °C | Statement: [Mediterranean climate zone, hasTypicalWinterTemperature, generally between 4 °C and 13 °C]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalWinterTemperature Context triple: [Mediterranean climate zone, hasTypicalWinterTemperature, generally between 4 °C and 13 °C]
-
A.
hasWinterPhenomenon
Indicates that an entity experiences or is characterized by a particular phenomenon occurring during the winter season.
-
B.
hasFrozenInWinter
Indicates that something becomes or has become frozen during the winter season.
-
C.
minimumWinterTemperature
Indicates the lowest temperature typically experienced during the winter season for the subject entity.
-
D.
typicalTemperature
Indicates the usual or characteristic temperature associated with an entity under normal conditions.
-
E.
averageWinterLowTemperature
chosen
Indicates the typical minimum temperature experienced during the winter season for a given location or period.
- 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_69e2c4d060e08190ac9f7c49b1036e20 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:31 a.m.