Triple
T29917833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inyokern, California |
E759834
|
entity |
| Predicate | sunshine |
P168254
|
FINISHED |
| Object | many clear days per year |
—
|
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: many clear days per year | Statement: [Inyokern, California, sunshine, many clear days per year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sunshine Context triple: [Inyokern, California, sunshine, many clear days per year]
-
A.
sunType
Indicates the classification relationship specifying what type or category of sun (or star) an entity is associated with.
-
B.
sunset
Indicates the time or event when the sun descends below the horizon, marking the end of daylight.
-
C.
sunRepresents
Indicates that something uses the sun as a symbol or stands as a representation of the sun.
-
D.
sunColor
Indicates the color attribute or appearance associated with the sun.
-
E.
sunRequirement
Indicates the amount or type of sunlight an entity (such as a plant or object) needs or is designed to receive.
- 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_69f2246189fc8190996b63ee1f9a2374 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6779140408190987216918cfaf0cb |
completed | May 2, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 29, 2026, 6:13 p.m.