Triple
T18889197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adin, California |
E462037
|
entity |
| Predicate | climateDetail |
P109221
|
FINISHED |
| Object | warm dry summers and cold wet winters |
—
|
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 dry summers and cold wet winters | Statement: [Adin, California, climateDetail, warm dry summers and cold wet winters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: climateDetail Context triple: [Adin, California, climateDetail, warm dry summers and cold wet winters]
-
A.
allWeatherCapability
Indicates that an entity is capable of operating effectively under all weather conditions.
-
B.
climateBetween
Indicates that something (such as a location, period, or condition) has a climate that lies within a specified range or intermediate state between two other climatic conditions.
-
C.
climateOverall
chosen
Indicates the general or aggregate state of the climate associated with an entity, summarizing conditions such as typical temperature, precipitation, and weather patterns.
-
D.
climateSubgroup
Indicates that one climate category is a more specific subgroup or subtype within another, broader climate category.
-
E.
allWeatherSurface
Indicates that a surface is designed or suitable for use under all weather conditions without significant loss of functionality.
- 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c478d8c481909291e7c471e5095a |
completed | April 20, 2026, 6:15 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e27e1481908a8da10b28f07875 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:58 a.m.