Triple
T15977088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cauchy functional equation |
E387476
|
entity |
| Predicate | domainTypically |
P24492
|
FINISHED |
| Object | real numbers |
—
|
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: real numbers | Statement: [Cauchy functional equation, domainTypically, real numbers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: domainTypically Context triple: [Cauchy functional equation, domainTypically, real numbers]
-
A.
typicalDomain
chosen
Indicates that one entity is the characteristic or most common domain, context, or area of application in which another entity typically occurs or is used.
-
B.
inputDomain
Indicates that a function, process, or system accepts inputs belonging to a specified domain or set of allowable values.
-
C.
domainServed
Indicates that a particular domain or area is supported, covered, or provided for by a given entity or service.
-
D.
laterDomain
Indicates that one domain or time interval occurs strictly after another in a temporal ordering.
-
E.
publicDomain
Indicates that a work or resource is not protected by intellectual property rights and is freely available for anyone to use, copy, modify, and distribute without restriction.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d9d8e881909b559a3e3ca21d24 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:54 a.m.