Triple
T17304023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abbot Elementary School |
E420110
|
entity |
| Predicate | hasInstructionalSetting |
P56012
|
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: [Abbot Elementary School, hasInstructionalSetting, in-person classroom instruction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInstructionalSetting Context triple: [Abbot Elementary School, hasInstructionalSetting, in-person classroom instruction]
-
A.
hasTeachingMode
Indicates that an entity is associated with a particular method, style, or mode of teaching or instruction.
-
B.
hasTeachingContext
chosen
Indicates that an entity is associated with a specific educational or instructional setting in which teaching occurs.
-
C.
isInEducationalSystemOf
Indicates that one entity belongs to, is administered by, or operates within the educational system governed by another entity.
-
D.
hasTeaching
Indicates that one entity provides instruction or educational guidance to another entity.
-
E.
hasTeachingStatus
Indicates that an entity holds a particular teaching-related role, capacity, or status in relation to another entity or context.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e438fc732481909065afddc5c687d4 |
completed | April 19, 2026, 2:07 a.m. |
| PD | Predicate disambiguation | batch_69e3b01b9d1c8190a406dd941c9b11a1 |
completed | April 18, 2026, 4:23 p.m. |
Created at: April 10, 2026, 5:41 a.m.