Triple
T33426591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaufman Independent School District |
E855999
|
entity |
| Predicate | schoolLevelRange |
P3870
|
FINISHED |
| Object | pre-kindergarten through grade 12 |
—
|
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: pre-kindergarten through grade 12 | Statement: [Kaufman Independent School District, schoolLevelRange, pre-kindergarten through grade 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: schoolLevelRange Context triple: [Kaufman Independent School District, schoolLevelRange, pre-kindergarten through grade 12]
-
A.
eligibleGradeLevels
Indicates the grade levels for which something (such as a program, course, or benefit) is considered eligible or applicable.
-
B.
gradeRange
Indicates the span of grades or scores that an item, performance, or entity falls within.
-
C.
gradeRangeStart
Indicates the lower boundary value at which a particular grade or grading interval begins.
-
D.
servesGradeLevels
chosen
Indicates that an entity (such as a school or program) provides services or instruction to students in the specified grade levels.
-
E.
schoolPhase
Indicates the specific stage or level within an educational system at which the related entity operates or applies.
- 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_69f3496fdf0081908c1aa30870ce518b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e47f37848190aadb137c81760f1f |
completed | May 3, 2026, 6 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:36 a.m.