Triple
T9844041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cauchy principal value |
E239294
|
entity |
| Predicate | definitionExample |
P62235
|
FINISHED |
| Object | PV ∫_{-a}^{a} f(x) dx = lim_{ε→0+} (∫_{-a}^{-ε} f(x) dx + ∫_{ε}^{a} f(x) dx) |
—
|
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: PV ∫_{-a}^{a} f(x) dx = lim_{ε→0+} (∫_{-a}^{-ε} f(x) dx + ∫_{ε}^{a} f(x) dx) | Statement: [Cauchy principal value, definitionExample, PV ∫_{-a}^{a} f(x) dx = lim_{ε→0+} (∫_{-a}^{-ε} f(x) dx + ∫_{ε}^{a} f(x) dx)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definitionExample
Context triple: [Cauchy principal value, definitionExample, PV ∫_{-a}^{a} f(x) dx = lim_{ε→0+} (∫_{-a}^{-ε} f(x) dx + ∫_{ε}^{a} f(x) dx)]
-
A.
definitionText
chosen
Indicates the textual content that provides the definition or explanatory meaning of a concept, term, or entity.
-
B.
defined
Indicates that one entity specifies, explains, or establishes the meaning, scope, or identity of another entity.
-
C.
definitionType
Indicates the specific kind or category of definition that characterizes how one entity is defined in relation to another.
-
D.
secondDefinition
Indicates that one entity serves as an alternative or secondary definition or meaning for another entity.
-
E.
duMeaning
Indicates that one entity expresses, conveys, or signifies a particular meaning or sense in relation to another.
- 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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb35dc29c819080203be5b904dc9d |
completed | April 2, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69cd03e57cac8190914bb5ae608a6e0e |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:33 p.m.