Triple
T5543727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | principle of least action |
E145354
|
entity |
| Predicate | actionDefinedAs |
P45151
|
FINISHED |
| Object | time integral of the Lagrangian |
—
|
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: time integral of the Lagrangian | Statement: [principle of least action, actionDefinedAs, time integral of the Lagrangian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: actionDefinedAs Context triple: [principle of least action, actionDefinedAs, time integral of the Lagrangian]
-
A.
areDefinedIn
Indicates that the referenced entities are specified, described, or formally established within a particular source, context, or scope.
-
B.
actsOn
Indicates that one entity performs an action that affects, targets, or is directed toward another entity.
-
C.
refersToAction
Indicates that one entity explicitly points to, mentions, or designates a specific action or event.
-
D.
scopeDefinedBy
Indicates that the extent or boundaries of one entity’s applicability, influence, or validity are determined or constrained by another entity.
-
E.
definesAct
chosen
Indicates that one entity specifies, determines, or lays out the nature, scope, or details of an action performed by another entity.
- 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_69c008fa64888190adae56c8f9ea4031 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fc947bc81908d1f7b709392ec20 |
completed | March 22, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69c01b0e72f08190bf705d8fe1639401 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:35 p.m.