Triple
T3699345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States education system |
E78538
|
entity |
| Predicate | standardizedAssessment |
P49467
|
FINISHED |
| Object | state standardized tests |
—
|
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 standardized tests | Statement: [United States education system, standardizedAssessment, state standardized tests]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standardizedAssessment Context triple: [United States education system, standardizedAssessment, state standardized tests]
-
A.
assessment
Indicates an evaluation or judgment made about an entity’s quality, performance, or characteristics.
-
B.
languageOfAssessment
Indicates that a specified language is used as the medium of assessment (e.g., for tests, evaluations, or examinations) for a given entity.
-
C.
entranceExam
Indicates that an entity is required to pass or participate in an entrance examination as a condition for admission or access to another entity.
-
D.
assessmentMethod
Indicates the method or procedure used to evaluate, measure, or judge something.
-
E.
testTakers
Indicates that certain entities are individuals or groups who participate in taking a specific test or examination.
- F. None of above. chosen
Provenance (4 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_69ad85e3b1888190abc983e06968696d |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc513d26c8190bfdf25f62af8c6ca |
completed | March 8, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69adb84dc5808190850aa6975cb09e27 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb903be308190a8f1925f99e67c68 |
completed | March 8, 2026, 5:59 p.m. |
Created at: March 8, 2026, 3:26 p.m.