Triple
T8397715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California air quality standards |
E198094
|
entity |
| Predicate | areStricterThan |
P29844
|
FINISHED |
| Object | United States federal air quality standards |
—
|
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: United States federal air quality standards | Statement: [California air quality standards, areStricterThan, United States federal air quality standards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areStricterThan Context triple: [California air quality standards, areStricterThan, United States federal air quality standards]
-
A.
strongerThan
Indicates that one entity possesses greater strength, power, or intensity than another.
-
B.
isStrongerThan
Indicates that one entity possesses greater physical power, force, or effectiveness than another entity.
-
C.
weakerThan
Indicates that one entity has less strength, power, or effectiveness than another entity.
-
D.
isMoreSpecificThan
Indicates that one concept represents a narrower, more detailed, or more constrained case of another concept.
-
E.
isStrongerProtectionThan
chosen
Indicates that one form of protection provides a higher level of security, defense, or safeguarding compared to another.
- 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.