Triple
T241227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Ambient Air Quality Standards |
E4935
|
entity |
| Predicate | requiresReviewIntervalYears |
P7407
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [National Ambient Air Quality Standards, requiresReviewIntervalYears, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresReviewIntervalYears Context triple: [National Ambient Air Quality Standards, requiresReviewIntervalYears, 5]
-
A.
reassessedAfter
Indicates that one entity is evaluated or reviewed again at a time point that occurs after another specified event or assessment.
-
B.
tienePeriodicidad
chosen
Indicates that something occurs, recurs, or is scheduled with a specific regular frequency or periodic pattern.
-
C.
usedSince
Indicates that an entity has been in use starting from a specified point in time and continuing thereafter.
-
D.
authorizationYear
Indicates the year in which an official approval, permission, or authorization for something was granted.
-
E.
reversionYear
Indicates the year in which something returns to a previous state, condition, or ownership.
- 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_69a257c3d0708190b0871c4269d273e6 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d35aa288190966b6e15af1525cb |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b60ad308190b12f119960a8bde7 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.