Triple
T31710160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NOCCA |
E809295
|
entity |
| Predicate | instructionModel |
P784
|
FINISHED |
| Object | half-day program |
—
|
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: half-day program | Statement: [NOCCA, instructionModel, half-day program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: instructionModel Context triple: [NOCCA, instructionModel, half-day program]
-
A.
instruction
Indicates that one entity provides a directive or order specifying an action that another entity should perform.
-
B.
instructionMode
Indicates the method or medium through which an instruction, lesson, or teaching activity is delivered.
-
C.
assistant
Indicates that one entity provides help, support, or services to another entity.
-
D.
educationalModel
chosen
Indicates that one entity serves as an educational model, framework, or paradigm that guides or structures the teaching, learning, or training practices of another entity.
-
E.
coPilotWith
Indicates that two entities jointly serve as pilots or share piloting responsibilities for the same vehicle or mission.
- 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_69f348df4e048190a4a5a9932ada78d6 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:15 p.m.