Triple
T24791317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Speedway High School |
E620256
|
entity |
| Predicate | hasInstructionalMode |
P122484
|
FINISHED |
| Object | in-person classroom instruction |
—
|
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: in-person classroom instruction | Statement: [Speedway High School, hasInstructionalMode, in-person classroom instruction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInstructionalMode Context triple: [Speedway High School, hasInstructionalMode, in-person classroom instruction]
-
A.
hasTeachingMode
chosen
Indicates that an entity is associated with a particular method, style, or mode of teaching or instruction.
-
B.
hasInstructionModel
Indicates that one entity is associated with, or utilizes, a specific instruction-oriented model to guide its behavior or processing.
-
C.
hasEducationalFeature
Indicates that something includes or is associated with a component, characteristic, or functionality intended for educational purposes.
-
D.
canInstruct
Indicates that one entity has the authority or ability to give instructions or guidance to another entity.
-
E.
offersEducationMode
Indicates that an entity provides a particular mode or format in which education or instruction is delivered.
- 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_69e2fabe77c8819085f7ce6486248139 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
Created at: April 18, 2026, 4:47 a.m.