Triple
T25464652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Advanced Clean Trucks regulation |
E638140
|
entity |
| Predicate | targetsEmissions |
P122602
|
FINISHED |
| Object | nitrogen oxides |
—
|
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: nitrogen oxides | Statement: [Advanced Clean Trucks regulation, targetsEmissions, nitrogen oxides]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetsEmissions Context triple: [Advanced Clean Trucks regulation, targetsEmissions, nitrogen oxides]
-
A.
targetsVector
Indicates that one entity is directed toward, aimed at, or focused on another entity represented as a vector (e.g., a direction or target position).
-
B.
emissionStandardTarget
chosen
Indicates the specific emissions limit or performance level that something is intended or required to meet.
-
C.
targetsSector
Indicates that an entity is directed toward, focused on, or intended to affect a particular economic or industry sector.
-
D.
hasEnvironmentalTarget
Indicates that an entity has a specified environmental objective, goal, or target it aims to achieve or comply with.
-
E.
targetsEcosystem
Indicates that an action, product, or policy is directed toward, affects, or is specifically intended for a particular ecosystem.
- 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_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
Created at: April 21, 2026, 2:14 p.m.