Triple
T3700792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holly Ridge Middle School |
E78571
|
entity |
| Predicate | hasInstructionalLevel |
P33658
|
FINISHED |
| Object | middle grades |
—
|
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: middle grades | Statement: [Holly Ridge Middle School, hasInstructionalLevel, middle grades]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInstructionalLevel Context triple: [Holly Ridge Middle School, hasInstructionalLevel, middle grades]
-
A.
trainingLevel
Indicates the degree or stage of training or skill development that an entity has attained.
-
B.
isAtGrade
Indicates that an entity is positioned at or corresponds to a specific grade or level within an ordered scale or classification.
-
C.
denotesGradeLevel
chosen
Indicates that one entity specifies or assigns the educational grade level associated with another entity.
-
D.
isTaughtAs
Indicates that something is presented or delivered as instructional content, typically within an educational or training context.
-
E.
supportsLevelOfStudy
Indicates that one entity provides or is compatible with a specified level of academic or educational study for 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_69ad85e3b1888190abc983e06968696d |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc514eb6c8190b3b74a603c717729 |
completed | March 8, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69adb84dc5808190850aa6975cb09e27 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:26 p.m.