Triple
T17899114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Village of Cattaraugus, New York |
E447514
|
entity |
| Predicate | typicalSummerWeather |
P21374
|
FINISHED |
| Object | warm and humid |
—
|
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: warm and humid | Statement: [Village of Cattaraugus, New York, typicalSummerWeather, warm and humid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSummerWeather Context triple: [Village of Cattaraugus, New York, typicalSummerWeather, warm and humid]
-
A.
summerClimate
chosen
Indicates the typical weather conditions or characteristics that prevail in a place during the summer season.
-
B.
typicalTemperature
Indicates the usual or characteristic temperature associated with an entity under normal conditions.
-
C.
summerTemperatureRange_C
Indicates the range of temperatures, measured in degrees Celsius, that typically occur during the summer period for a given entity or location.
-
D.
typicalWeatherSouthernHemisphere
Indicates that the described weather conditions are characteristic or commonly experienced in the Southern Hemisphere.
-
E.
summerPeak
Indicates that something reaches its highest level, intensity, or activity 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49d81e00881908a46305af66fdf1a |
completed | April 19, 2026, 9:16 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e9b77c8190bbfb508f28dfacfa |
completed | April 18, 2026, 7:18 p.m. |
Created at: April 10, 2026, 10:19 a.m.