Triple
T10979905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bellows Falls Middle School |
E259473
|
entity |
| Predicate | hasInstructionalFormat |
P16603
|
FINISHED |
| Object | in-person classes |
—
|
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 classes | Statement: [Bellows Falls Middle School, hasInstructionalFormat, in-person classes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInstructionalFormat Context triple: [Bellows Falls Middle School, hasInstructionalFormat, in-person classes]
-
A.
isTaughtFormally
Indicates that one entity provides structured, formal instruction or education to another entity.
-
B.
trainingFormat
chosen
Indicates the specific method or medium through which training is delivered or conducted.
-
C.
includesInstruction
Indicates that one entity contains, provides, or embeds an instruction or set of instructions directed toward another entity.
-
D.
hasEducationalFeature
Indicates that something includes or is associated with a component, characteristic, or functionality intended for educational purposes.
-
E.
hasEducationalUse
Indicates that something is intended to be used for educational or instructional purposes.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d772e97cf88190a65dab3ec4e5f7f3 |
completed | April 9, 2026, 9:35 a.m. |
| PD | Predicate disambiguation | batch_69d72e9055908190b438f039574aaaaf |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:24 p.m.