Triple
T6800917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lagrange interpolation polynomial |
E156183
|
entity |
| Predicate | errorTerm |
P73079
|
FINISHED |
| Object | involves (n+1)th derivative of the interpolated function |
—
|
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: involves (n+1)th derivative of the interpolated function | Statement: [Lagrange interpolation polynomial, errorTerm, involves (n+1)th derivative of the interpolated function]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: errorTerm Context triple: [Lagrange interpolation polynomial, errorTerm, involves (n+1)th derivative of the interpolated function]
-
A.
errorTermOrder
Indicates the ordering or sequence in which error terms are arranged or considered relative to one another.
-
B.
errorType
Indicates the specific category or kind of error associated with an event, action, or entity.
-
C.
errorPhase
Indicates the specific stage or phase in a process or workflow during which an error occurred.
-
D.
errorRecovery
Indicates that an entity detects a failure or error condition and initiates actions to restore normal or acceptable operation.
-
E.
usedTerm
Indicates that one entity employed, referenced, or applied a particular term in some context.
- F. None of above. chosen
Provenance (4 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_69c68826e6a48190a3d220b541e639de |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2e595188190a0bb4b595df3adb2 |
completed | March 27, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69c6d099bf08819089a9f9894d037e74 |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d2a8f9188190abbb8c730e7b5edf |
completed | March 27, 2026, 6:55 p.m. |
Created at: March 27, 2026, 2:16 p.m.