Triple
T8297016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clayton, California |
E194244
|
entity |
| Predicate | summerWeather |
P21374
|
FINISHED |
| Object | hot dry summers |
—
|
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: hot dry summers | Statement: [Clayton, California, summerWeather, hot dry summers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: summerWeather Context triple: [Clayton, California, summerWeather, hot dry summers]
-
A.
summerClimate
chosen
Indicates the typical weather conditions or characteristics that prevail in a place during the summer season.
-
B.
summerTemperatureRange_C
Indicates the range of temperatures, measured in degrees Celsius, that typically occur during the summer period for a given entity or location.
-
C.
summerHomeOf
Indicates that a location serves as a seasonal or vacation residence for a person or group, specifically used during the summer.
-
D.
summerHighTemperaturesOftenExceed
Indicates that during the summer season, the high temperatures in a given location frequently surpass a specified threshold.
-
E.
summerBase
Indicates a base or location where an entity is situated or operates specifically 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_69ca82e50ebc81909aa7b260c76bd757 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7df887148190bddc2609bc885cb4 |
completed | March 31, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69cb70b5b5348190b296e0ecec95de60 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:53 p.m.