Triple
T34212768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | US–California border |
E877701
|
entity |
| Predicate | hasEnvironmentalVariationAlong |
P154440
|
FINISHED |
| Object | coastal climate zones |
—
|
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: coastal climate zones | Statement: [US–California border, hasEnvironmentalVariationAlong, coastal climate zones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnvironmentalVariationAlong Context triple: [US–California border, hasEnvironmentalVariationAlong, coastal climate zones]
-
A.
hasEnvironmentalHistory
Indicates that an entity is associated with a record or account of its past environmental conditions, impacts, or interactions.
-
B.
hasEnvironmentalAttribute
Indicates that an entity possesses a specific environmental property, condition, or characteristic.
-
C.
hasEnvironmentalEffect
Indicates that one entity causes, contributes to, or is associated with an impact on the environment of another entity or context.
-
D.
hasVariability
Indicates that an entity exhibits variation or fluctuation in its state, value, or characteristics over time or across instances.
-
E.
variesOver
chosen
Indicates that the value, state, or behavior of one entity changes as a function of another entity or parameter.
- 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_69f349b0b4bc819088c1552424089ee9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd37b695c88190855801626f91c4cd |
completed | May 8, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69fd374cccf08190a230e87164af5938 |
completed | May 8, 2026, 1:07 a.m. |
Created at: May 1, 2026, 1:55 a.m.