Triple
T19244566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Advanced Placement |
E481213
|
entity |
| Predicate | hasDigitalExams |
P133471
|
FINISHED |
| Object | yes (in some subjects and administrations) |
—
|
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: yes (in some subjects and administrations) | Statement: [Advanced Placement, hasDigitalExams, yes (in some subjects and administrations)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDigitalExams Context triple: [Advanced Placement, hasDigitalExams, yes (in some subjects and administrations)]
-
A.
hasDigitalAccess
Indicates that an entity has the ability or permission to use or access digital resources, services, or information.
-
B.
hasDigitalForm
Indicates that something exists or is available in a digital or electronic format.
-
C.
hasDigitalSystem
Indicates that an entity possesses, uses, or is equipped with a digital system (such as software, hardware, or an integrated digital platform).
-
D.
hasDigitalService
Indicates that an entity provides, offers, or is associated with a service delivered through digital or online means.
-
E.
examDeliveryMode
chosen
Indicates the method or format through which an exam is administered or delivered to participants.
- 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5faf47820819081e8b6af852bb1dd |
completed | April 20, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e4dd002d00819088b625056edfb74e |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:27 p.m.