Triple
T19977523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of Texas Assessments of Academic Readiness |
E493730
|
entity |
| Predicate | gradeLevelsAssessed |
P98373
|
FINISHED |
| Object | grades 3–8 |
—
|
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: grades 3–8 | Statement: [State of Texas Assessments of Academic Readiness, gradeLevelsAssessed, grades 3–8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gradeLevelsAssessed Context triple: [State of Texas Assessments of Academic Readiness, gradeLevelsAssessed, grades 3–8]
-
A.
eligibleGradeLevels
Indicates the grade levels for which something (such as a program, course, or benefit) is considered eligible or applicable.
-
B.
eligibilityGradeLevel
chosen
Indicates the grade level or range of grade levels for which an entity is considered eligible or appropriate.
-
C.
knowledgeLevelAssessed
Indicates that an entity’s level of knowledge or understanding has been evaluated or measured, typically against some criteria or standard.
-
D.
assessmentLevel
Indicates the degree, rating, or intensity assigned to an evaluation or judgment of something.
-
E.
gradeRange
Indicates the span of grades or scores that an item, performance, or entity falls within.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d1054e08190993b92b86ec5bbc8 |
completed | April 20, 2026, 5:06 p.m. |
| PD | Predicate disambiguation | batch_69e537fae79c81909eae39500766d0b6 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 11, 2026, 3:27 p.m.