Triple
T26119231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Killara |
E658910
|
entity |
| Predicate | averageWinterTemperatureRange |
P71962
|
FINISHED |
| Object | about 3–14 °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: about 3–14 °C | Statement: [Killara, averageWinterTemperatureRange, about 3–14 °C]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageWinterTemperatureRange Context triple: [Killara, averageWinterTemperatureRange, about 3–14 °C]
-
A.
averageWinterLowTemperature
Indicates the typical minimum temperature experienced during the winter season for a given location or period.
-
B.
averageJanuaryTemperatureRange
Indicates the range of typical average temperatures observed during the month of January for a given entity.
-
C.
averageWinterClimate
Indicates the typical or mean climatic conditions experienced in a location during the winter season.
-
D.
minimumWinterTemperature
Indicates the lowest temperature typically experienced during the winter season for the subject entity.
-
E.
winterTemperatureRange_C
chosen
Indicates the range of temperatures, in degrees Celsius, typically experienced during the winter season for the subject.
- 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_69ee5bc20298819099a42be042eb2349 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f621fcea1481909b6f8b3af1ee6820 |
completed | May 2, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69f620debeb48190b7db395fb86cf8d9 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 26, 2026, 8:07 p.m.