Triple
T8397730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California air quality standards |
E198094
|
entity |
| Predicate | updatedFrequency |
P56156
|
FINISHED |
| Object | periodically |
—
|
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: periodically | Statement: [California air quality standards, updatedFrequency, periodically]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: updatedFrequency Context triple: [California air quality standards, updatedFrequency, periodically]
-
A.
updatedEvery
Indicates that something is refreshed or brought up to date at a regular, specified interval.
-
B.
rankingUpdateFrequency
Indicates how often the ranking or ordered list associated with an entity is recalculated or refreshed.
-
C.
replacedFrequency
Indicates how often one entity is substituted for or takes the place of another over a given period.
-
D.
laterFrequency
Indicates that one event, state, or action occurs with a lower frequency than another in a temporal sequence.
-
E.
typicalUpdateFrequency
chosen
Indicates how often an entity is usually updated or refreshed over time.
- 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.