Triple
T18603671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Temperate Zone |
E454682
|
entity |
| Predicate | dayLengthVariation |
P2057
|
FINISHED |
| Object | significant seasonal variation |
—
|
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: significant seasonal variation | Statement: [South Temperate Zone, dayLengthVariation, significant seasonal variation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dayLengthVariation Context triple: [South Temperate Zone, dayLengthVariation, significant seasonal variation]
-
A.
dayLengthCharacteristic
chosen
Indicates a relationship where an entity is characterized or defined by the length or duration of its day.
-
B.
hasSolarDayLength
Indicates that an entity is associated with a specific duration for one complete solar day (the time between successive noons).
-
C.
diurnalRange
Indicates the difference between the daily maximum and minimum values of a measured quantity, typically temperature, over a 24-hour period.
-
D.
dayNightVariant
Indicates a relationship where one entity is a day-time version and the other is a night-time version of the same underlying thing.
-
E.
daylightEffect
Indicates the influence or change that daylight has on a given entity, condition, or process.
- 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54752abec8190a5f4aa84abe8b240 |
completed | April 19, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69e478cf5e888190a0b1074b0c6525df |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:45 a.m.