Triple
T6914083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book II (The Advancement of Learning) |
E160004
|
entity |
| Predicate | workLevel |
P34961
|
FINISHED |
| Object | macro-classification of disciplines |
—
|
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: macro-classification of disciplines | Statement: [Book II (The Advancement of Learning), workLevel, macro-classification of disciplines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workLevel Context triple: [Book II (The Advancement of Learning), workLevel, macro-classification of disciplines]
-
A.
productivityLevel
Indicates the degree or intensity of how much useful output or work an entity produces over a given period or context.
-
B.
trainingLevel
Indicates the degree or stage of training or skill development that an entity has attained.
-
C.
worksOver
Indicates that one entity performs work that extends beyond or exceeds a certain limit, threshold, or standard associated with another entity.
-
D.
workAttribute
chosen
Indicates that a particular characteristic, quality, or property is associated with a specific work or piece of work.
-
E.
worksTo
Indicates that one entity performs work or exerts effort in order to achieve, support, or contribute to another entity or outcome.
- 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_69c6883ab1008190a07129ff06f625d9 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9dda4108190a79a7841b0658a4d |
completed | March 27, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b93d688190a297244ce81b67ac |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:26 p.m.