Triple
T30311898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sears and Zemansky’s University Physics |
E770946
|
entity |
| Predicate | usesMathematicsLevel |
P4746
|
FINISHED |
| Object | calculus |
—
|
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: calculus | Statement: [Sears and Zemansky’s University Physics, usesMathematicsLevel, calculus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesMathematicsLevel Context triple: [Sears and Zemansky’s University Physics, usesMathematicsLevel, calculus]
-
A.
mathematicalLevel
Indicates the degree or complexity of mathematical knowledge, skill, or sophistication associated with an entity.
-
B.
mathematicallyUses
chosen
Indicates that one entity employs or applies another entity within a mathematical context, such as in a formula, proof, computation, or theoretical framework.
-
C.
supportsMathematicsTopic
Indicates that one entity provides assistance, resources, or reinforcement for understanding or working with a particular mathematics topic.
-
D.
hasMathematicalDiscipline
Indicates that one entity is associated with or characterized by a particular branch or field of mathematics.
-
E.
hasMathematicalInterest
Indicates that one entity has an interest in, curiosity about, or engagement with mathematics in relation to another entity or mathematical subject.
- 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_69f22488f224819081b0f3ec41ab975c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
Created at: April 29, 2026, 7:50 p.m.