Triple
T31917114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keystone Exams |
E814861
|
entity |
| Predicate | minimumPassingLevel |
P65817
|
FINISHED |
| Object | Proficient |
—
|
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: Proficient | Statement: [Keystone Exams, minimumPassingLevel, Proficient]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumPassingLevel Context triple: [Keystone Exams, minimumPassingLevel, Proficient]
-
A.
requiresMinimumScore
Indicates that one entity can only be obtained, accessed, or considered valid if another entity’s score meets or exceeds a specified minimum threshold.
-
B.
minimumLevel
chosen
Indicates that one entity specifies the lowest allowable or required level, degree, or threshold at which another entity, condition, or action becomes valid or applicable.
-
C.
passMark
Indicates that an entity has achieved a score or performance level that meets or exceeds the required threshold for passing.
-
D.
lowestGrade
Indicates that one entity has the smallest or worst grade value compared to all other relevant entities in a given context.
-
E.
eligibilityGradeLevel
Indicates the grade level or range of grade levels for which an entity is considered eligible or appropriate.
- 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_69f348f109d88190b5005372c53d2fcd |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 12:02 a.m.