Triple
T36468324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newton–Cotes formulas |
E898476
|
entity |
| Predicate | stabilityIssue |
P104566
|
FINISHED |
| Object | high-degree closed formulas can be numerically unstable |
—
|
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: high-degree closed formulas can be numerically unstable | Statement: [Newton–Cotes formulas, stabilityIssue, high-degree closed formulas can be numerically unstable]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stabilityIssue Context triple: [Newton–Cotes formulas, stabilityIssue, high-degree closed formulas can be numerically unstable]
-
A.
reasonForInstability
chosen
Indicates the cause or underlying factor that leads to an entity’s instability or lack of steadiness.
-
B.
stabilityReason
Indicates the factor, condition, or cause that accounts for why something remains stable or unchanged.
-
C.
stabilityDescription
Indicates how stable, consistent, or enduring the relationship, condition, or state between the entities is over time.
-
D.
isUnstable
Indicates that the subject lacks stability or consistency, often changing, fluctuating, or failing to remain in a steady state.
-
E.
statusIssue
Indicates that an entity has a problem, defect, or irregular condition affecting its normal or expected status.
- 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_69f76e58ebd88190b75d9b169b59d793 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.