Triple
T8397731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California air quality standards |
E198094
|
entity |
| Predicate | aimToMeet |
P64674
|
FINISHED |
| Object | health-based concentration thresholds |
—
|
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: health-based concentration thresholds | Statement: [California air quality standards, aimToMeet, health-based concentration thresholds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aimToMeet Context triple: [California air quality standards, aimToMeet, health-based concentration thresholds]
-
A.
aimOf
chosen
Indicates that one entity serves as the goal, purpose, or intended target of another entity’s action, plan, or existence.
-
B.
plansMeetingWith
Indicates that one entity arranges or intends to organize a meeting involving another entity.
-
C.
goals
Indicates that an entity has objectives, targets, or desired outcomes it aims to achieve.
-
D.
goalType
Indicates the specific category or nature of a goal associated with an entity or action.
-
E.
rendezvousWith
Indicates that two or more entities meet or come together at an agreed place and time, often for a specific purpose.
- 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_69ca82f816bc8190ab321c07d72208c1 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb818a8dc081908efd5d7f910322e7 |
completed | March 31, 2026, 8:10 a.m. |
| PD | Predicate disambiguation | batch_69cb70d24b248190a326aa6804f942b5 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:04 p.m.