Triple
T21972932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Functional Analysis: Introduction to Further Topics in Analysis |
E542635
|
entity |
| Predicate | usesPrerequisites |
P100
|
FINISHED |
| Object | measure theory |
—
|
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: measure theory | Statement: [Functional Analysis: Introduction to Further Topics in Analysis, usesPrerequisites, measure theory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesPrerequisites Context triple: [Functional Analysis: Introduction to Further Topics in Analysis, usesPrerequisites, measure theory]
-
A.
usageRequirement
Indicates the conditions or prerequisites that must be met for something to be used or applied.
-
B.
requires
chosen
Indicates that one entity must exist, occur, or be satisfied before another entity can exist, occur, or be carried out.
-
C.
requiresPractice
Indicates that performing or mastering one entity depends on engaging in repeated practice or training involving another entity.
-
D.
usesPrinciple
Indicates that one entity applies, relies on, or is based upon a particular principle in its functioning, reasoning, or design.
-
E.
requiresApplicationOf
Indicates that performing one entity or process depends on actively applying or using another entity, method, or resource.
- 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_69e0c48070988190909db97667b9a0ac |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f124857dcc8190ab474cd8ab9c130a |
completed | April 28, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69e6f601f2188190893bcdde0cf58ad6 |
completed | April 21, 2026, 3:58 a.m. |
Created at: April 16, 2026, 8:02 p.m.