Triple
T9948777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Center for Arabic Study Abroad |
E195272
|
entity |
| Predicate | instructionMode |
P91314
|
FINISHED |
| Object | in-person |
—
|
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 | Statement: [Center for Arabic Study Abroad, instructionMode, in-person]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: instructionMode Context triple: [Center for Arabic Study Abroad, instructionMode, in-person]
-
A.
instrumentMode
Indicates the manner, setting, or operational mode in which an instrument is used to perform an action or measurement.
-
B.
instructionLevel
Indicates the degree or stage of guidance, teaching, or educational complexity associated with an action or relationship.
-
C.
instructionSetType
Indicates the type or category of an instruction set associated with a processor or computing architecture.
-
D.
instruction
Indicates that one entity provides a directive or order specifying an action that another entity should perform.
-
E.
instructionLength
Indicates the duration or amount of time required to carry out a given instruction or operation.
- F. None of above. chosen
Provenance (4 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_69ca82e96a108190932bd1fc4acd73a0 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb659307c81908279adb641ceef86 |
completed | April 2, 2026, 12:20 a.m. |
| PD | Predicate disambiguation | batch_69cd1d97c44081908730071269f07712 |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd358386f48190833c862b5b8c04b2 |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:45 p.m.