Triple
T32196428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AICP |
E822414
|
entity |
| Predicate | hasExamFormat |
P52475
|
FINISHED |
| Object | computer-based multiple-choice examination |
—
|
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: computer-based multiple-choice examination | Statement: [AICP, hasExamFormat, computer-based multiple-choice examination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExamFormat Context triple: [AICP, hasExamFormat, computer-based multiple-choice examination]
-
A.
examType
chosen
Indicates the specific category or format of an exam associated with an assessment or testing event.
-
B.
examPatternIncludes
Indicates that a particular exam pattern contains or encompasses a specified component, section, or element as part of its structure.
-
C.
hasExhibitFormat
Indicates the specific format or medium in which an exhibit is presented or made available.
-
D.
hasPracticeForm
Indicates that an entity is associated with, or takes place in, a particular form or mode of practice.
-
E.
hasRehearsalFormat
Indicates that an entity is associated with a particular format or structure in which a rehearsal is conducted.
- 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_69f349093174819086e633c190a51aa8 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 1, 2026, 12:36 a.m.