Triple
T11052524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Maria Valley AVA |
E261291
|
entity |
| Predicate | fogInfluence |
P97523
|
FINISHED |
| Object | frequent morning fog |
—
|
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: frequent morning fog | Statement: [Santa Maria Valley AVA, fogInfluence, frequent morning fog]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fogInfluence Context triple: [Santa Maria Valley AVA, fogInfluence, frequent morning fog]
-
A.
hasFogSignal
Indicates that an entity is equipped with or associated with a fog signal used for navigation or warning in low-visibility conditions.
-
B.
ashCloudEffect
Indicates the impact or consequences that an ash cloud has on other entities, conditions, or processes.
-
C.
skyBeamVisibility
Indicates that a skyward-directed beam (such as a light or energy beam) is visible from a given location or viewpoint.
-
D.
fuelEffect
Indicates the influence or impact that a given fuel has on a process, system, or outcome.
-
E.
fireEffect
Indicates that one entity produces, causes, or is associated with a fire-related impact or consequence on 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7986c0df88190b29d71db5538450a |
completed | April 9, 2026, 12:15 p.m. |
| PD | Predicate disambiguation | batch_69d7440da46c8190a77380d5d747ac9c |
completed | April 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69d750c99f9881908ee2b01b6ce4b3a1 |
completed | April 9, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:26 p.m.