Triple
T25427544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foundation Diploma in Art and Design |
E637155
|
entity |
| Predicate | typicalNextStep |
P143031
|
FINISHED |
| Object | Bachelor of Arts in Fine Art |
—
|
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: Bachelor of Arts in Fine Art | Statement: [Foundation Diploma in Art and Design, typicalNextStep, Bachelor of Arts in Fine Art]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalNextStep Context triple: [Foundation Diploma in Art and Design, typicalNextStep, Bachelor of Arts in Fine Art]
-
A.
typicalContinuation
chosen
Indicates that one event, state, or action is the usual or expected follow-up to another in a typical sequence.
-
B.
typicalStep
Indicates that an action, event, or sub-process is a standard or commonly occurring step within a larger process or procedure.
-
C.
typicalInteraction
Indicates the usual or most common way in which two entities interact or relate to each other.
-
D.
typicalGoing
Indicates that an entity is engaged in or undergoing a normal, expected instance of going or movement from one place to another.
-
E.
subsequentAction
Indicates that one action occurs after another in time, following it as a later step or consequence.
- 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_69e75db58a1c8190891b9ff7c2f8414e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
Created at: April 21, 2026, 1:57 p.m.