Triple
T17020282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banach algebra |
E412929
|
entity |
| Predicate | fieldOfSciences |
P62407
|
FINISHED |
| Object | functional analysis |
—
|
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: functional analysis | Statement: [Banach algebra, fieldOfSciences, functional analysis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldOfSciences Context triple: [Banach algebra, fieldOfSciences, functional analysis]
-
A.
scienceDomain
chosen
Indicates that one entity is a field, branch, or domain within science to which the other entity is related or belongs.
-
B.
regionOfStudy
Indicates the academic or research area that is the focus of someone’s study or investigation.
-
C.
eraOfScience
Indicates that one entity is a historical period characterized by particular developments or features in science associated with the other entity.
-
D.
typeOfScientist
Indicates that one entity is a scientist and the other specifies the kind or specialization of that scientist.
-
E.
dimensionOfStudy
Indicates the specific field, aspect, or perspective that characterizes or structures a particular study or research activity.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d482c3a0819099e6ea4acb0a08ee |
completed | April 18, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69e35d5be7f48190af9db67a1e23850f |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.