Triple
T32531970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CASA |
E831477
|
entity |
| Predicate | typicalParticipantBackground |
P4802
|
FINISHED |
| Object | advanced Arabic study |
—
|
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: advanced Arabic study | Statement: [CASA, typicalParticipantBackground, advanced Arabic study]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalParticipantBackground Context triple: [CASA, typicalParticipantBackground, advanced Arabic study]
-
A.
typicalStudentBackground
Indicates that an entity has the usual or commonly expected background or profile for a student in a given context.
-
B.
typicalApplicantBackground
chosen
Indicates that there is a commonly observed or standard set of characteristics or experiences that describe the usual background of an applicant for a given role or program.
-
C.
typicalBackground
Indicates that an entity has a usual or commonly expected background, context, or setting associated with it.
-
D.
typicalProfile
Indicates that an entity represents the standard or most representative profile or pattern for another entity.
-
E.
typicalParticipation
Indicates that an entity commonly or characteristically takes part in a particular activity, event, or process.
- 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_69f34924b1cc8190ad3aca0c0f012a7e |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379edf2d88190b492fca86ed23cac |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:01 a.m.