Triple
T10991515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riemann–Stieltjes integral |
E259762
|
entity |
| Predicate | textbookTreatment |
P42609
|
FINISHED |
| Object | commonly appears in advanced undergraduate analysis courses |
—
|
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: commonly appears in advanced undergraduate analysis courses | Statement: [Riemann–Stieltjes integral, textbookTreatment, commonly appears in advanced undergraduate analysis courses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textbookTreatment Context triple: [Riemann–Stieltjes integral, textbookTreatment, commonly appears in advanced undergraduate analysis courses]
-
A.
notableTextbook
Indicates that a textbook is recognized as significant, influential, or widely used within its field or subject area.
-
B.
theoreticalText
chosen
Indicates that one entity is a theoretical or conceptual written work about, or used as a basis for understanding, the other entity.
-
C.
book2Subject
Indicates that an entity serves as the subject or topic that a given book is about.
-
D.
book3Subject
Indicates that an entity serves as the third subject or topic discussed or treated in a particular book.
-
E.
wasStandardTextbookDuration
Indicates that the duration of something matched the typical or officially prescribed length for a standard textbook version of that activity or course.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d795d1e918819090c71f5a077fa15a |
completed | April 9, 2026, 12:04 p.m. |
| PD | Predicate disambiguation | batch_69d72e93ac648190b46c5d12bf3eb1e9 |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:24 p.m.