Triple
T5052226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Francisco Unified School District |
E113811
|
entity |
| Predicate | includesGradeLevel |
P3870
|
FINISHED |
| Object | kindergarten |
—
|
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: kindergarten | Statement: [San Francisco Unified School District, includesGradeLevel, kindergarten]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesGradeLevel Context triple: [San Francisco Unified School District, includesGradeLevel, kindergarten]
-
A.
denotesGradeLevel
Indicates that one entity specifies or assigns the educational grade level associated with another entity.
-
B.
servesGradeLevels
chosen
Indicates that an entity (such as a school or program) provides services or instruction to students in the specified grade levels.
-
C.
orderGradeLevel
Indicates the relative sequencing or ranking of grade levels, specifying which grade comes before or after another.
-
D.
isAtGrade
Indicates that an entity is positioned at or corresponds to a specific grade or level within an ordered scale or classification.
-
E.
regulatesGradeLevels
Indicates a relationship where one entity sets or enforces rules or standards governing the grade levels of another 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7428d7a88190b990aedae390acbe |
completed | March 20, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69bd715479f08190933604aebd34414f |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:37 p.m.