Triple
T24869257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Improving America's Schools Act of 1994 |
E622372
|
entity |
| Predicate | introducedStandardsFor |
P30412
|
FINISHED |
| Object | state academic content 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: state academic content standards | Statement: [Improving America's Schools Act of 1994, introducedStandardsFor, state academic content standards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedStandardsFor Context triple: [Improving America's Schools Act of 1994, introducedStandardsFor, state academic content standards]
-
A.
introducedStandard
Indicates that an entity formally brought a standard into existence or put it into official use.
-
B.
becameStandardFor
Indicates that something was adopted and established as the usual or accepted norm for a particular purpose, context, or group.
-
C.
developsStandardsFor
chosen
Indicates that one entity creates, defines, or establishes formal standards, guidelines, or specifications for another entity or domain.
-
D.
introducedAsInternationalStandard
Indicates that something has been formally adopted and announced as an international standard.
-
E.
standardsUsedIn
Indicates that certain standards are applied, referenced, or followed within a particular context, process, or entity.
- 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_69e2fac3fdbc81909c2ec49be5743cd9 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d6ef33081908f5d36ba1ae5f473 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 5:23 a.m.