Triple
T32308252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cauchy’s mean value theorem |
E825423
|
entity |
| Predicate | assumptionOnInterval |
P26078
|
FINISHED |
| Object | a < b |
—
|
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: a < b | Statement: [Cauchy’s mean value theorem, assumptionOnInterval, a < b]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assumptionOnInterval Context triple: [Cauchy’s mean value theorem, assumptionOnInterval, a < b]
-
A.
invariantInterval
Indicates that a certain interval or range remains unchanged or constant under a specified transformation or set of conditions.
-
B.
assumedDuring
Indicates that a particular state, role, or condition is taken on or held by an entity specifically within the temporal bounds of a given period or event.
-
C.
assumptionOnDomain
chosen
Indicates that a particular assumption or constraint is specified to hold over a given domain or set of entities.
-
D.
isAssumedIn
Indicates that something is taken for granted or presumed to hold within a particular context, without requiring explicit proof or verification.
-
E.
assumes
Indicates that one entity takes on, accepts, or presumes a role, responsibility, state, or fact regarding another entity or situation.
- 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_69f3491213b88190a57094d8697a7455 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bd8835588190b562ff2832f98acf |
completed | May 3, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:45 a.m.