Triple
T25464604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California Global Warming Solutions Act (AB 32) |
E638139
|
entity |
| Predicate | emissionsTargetType |
P122602
|
FINISHED |
| Object | absolute statewide cap |
—
|
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: absolute statewide cap | Statement: [California Global Warming Solutions Act (AB 32), emissionsTargetType, absolute statewide cap]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emissionsTargetType Context triple: [California Global Warming Solutions Act (AB 32), emissionsTargetType, absolute statewide cap]
-
A.
emissionType
Indicates the specific category or kind of emission associated with an entity or activity.
-
B.
emissionStandardTarget
chosen
Indicates the specific emissions limit or performance level that something is intended or required to meet.
-
C.
hasEnvironmentalTarget
Indicates that an entity has a specified environmental objective, goal, or target it aims to achieve or comply with.
-
D.
emissionsComparedToPredecessor
Indicates how the emissions of an entity compare in magnitude (e.g., higher, lower, or equal) to those of its immediate predecessor.
-
E.
typicalTargetType
Indicates the usual or most common type or category of entity that serves as the target or recipient in a given relationship or action.
- 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_69e75db8bab08190baca80b4a8c315fd |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f72f1a788190904ed62ebdccc57c |
completed | May 2, 2026, 1:07 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 2:14 p.m.