Triple
T12963543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Af (Köppen) |
E321206
|
entity |
| Predicate | diurnalCycleCharacteristic |
P25527
|
FINISHED |
| Object | small diurnal temperature range compared to many other climates |
—
|
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: small diurnal temperature range compared to many other climates | Statement: [Af (Köppen), diurnalCycleCharacteristic, small diurnal temperature range compared to many other climates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diurnalCycleCharacteristic Context triple: [Af (Köppen), diurnalCycleCharacteristic, small diurnal temperature range compared to many other climates]
-
A.
isDiurnal
Indicates that an entity is active during the daytime and rests at night.
-
B.
dayLengthCharacteristic
Indicates a relationship where an entity is characterized or defined by the length or duration of its day.
-
C.
diurnalRange
chosen
Indicates the difference between the daily maximum and minimum values of a measured quantity, typically temperature, over a 24-hour period.
-
D.
timeCharacteristic
Indicates a relationship where one entity specifies a temporal property, feature, or constraint that characterizes another entity or event.
-
E.
dailyCycle
Indicates a recurring pattern or process that happens once every day as part of a regular cycle.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97dba57988190b786ffed55687a72 |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:25 p.m.