Triple
T30444764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Ana winds |
E774545
|
entity |
| Predicate | effectOnHumidity |
P180157
|
FINISHED |
| Object | lower relative humidity |
—
|
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: lower relative humidity | Statement: [Santa Ana winds, effectOnHumidity, lower relative humidity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnHumidity Context triple: [Santa Ana winds, effectOnHumidity, lower relative humidity]
-
A.
hasHumidity
Indicates that one entity possesses, exhibits, or is characterized by a certain level or measure of humidity.
-
B.
preferredHumidity
Indicates the level or range of humidity that is most suitable or favored by a given entity.
-
C.
isMoistureSensitive
Indicates that the entity is susceptible to damage, degradation, or altered performance when exposed to moisture or humidity.
-
D.
affectedByWaterAbsorb
Indicates that an entity’s state, behavior, or effectiveness is influenced or altered by another entity’s water-absorbing property or action.
-
E.
effectOnInside
Indicates a relationship where one entity produces a change, influence, or impact on the internal state or condition of another entity.
- F. None of above. chosen
Provenance (4 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_69f22493ef9c8190ae8c2afcb7f994c8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
| PDg | Predicate description generation | batch_69f73221eef88190bd8905e6e9f5a586 |
completed | May 3, 2026, 11:31 a.m. |
Created at: April 29, 2026, 8:08 p.m.