Triple
T30676119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California renewable portfolio standard |
E780912
|
entity |
| Predicate | revisedTarget |
P170008
|
FINISHED |
| Object | 20% renewable electricity by 2010 |
—
|
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: 20% renewable electricity by 2010 | Statement: [California renewable portfolio standard, revisedTarget, 20% renewable electricity by 2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: revisedTarget Context triple: [California renewable portfolio standard, revisedTarget, 20% renewable electricity by 2010]
-
A.
plannedTarget
Indicates that one entity has been designated or selected as the intended target or objective of another entity’s planned action or operation.
-
B.
revisedSetting
Indicates that an existing setting or configuration has been modified or updated from its previous state.
-
C.
revisedVersionType
Indicates that one entity is a revised form of another, specifying the type or nature of the revision made.
-
D.
target
Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
-
E.
secondaryTarget
Indicates that an entity serves as an additional or subordinate target in relation to a primary target within a given context or action.
- 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_69f224a7fc208190a07d6d3879b31640 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68b18c42881909cc1ae94fd13e0a1 |
completed | May 2, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f688034580819086a0f9100645f8ba |
completed | May 2, 2026, 11:25 p.m. |
Created at: April 29, 2026, 8:32 p.m.