Triple
T11961415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tonelli's theorem |
E284676
|
entity |
| Predicate | oftenPresentedWith |
P3100
|
FINISHED |
| Object | Fubini's theorem in analysis textbooks |
—
|
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: Fubini's theorem in analysis textbooks | Statement: [Tonelli's theorem, oftenPresentedWith, Fubini's theorem in analysis textbooks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenPresentedWith Context triple: [Tonelli's theorem, oftenPresentedWith, Fubini's theorem in analysis textbooks]
-
A.
oftenPresentedAs
Indicates that one entity is frequently depicted, portrayed, or shown in the form or role of another entity.
-
B.
commonlyIdentifiedWith
Indicates that two entities are widely regarded or treated as the same or equivalent, even if they are formally distinct.
-
C.
clinicalSignOf
Indicates that one clinical sign is evidence or manifestation of a particular disease, condition, or underlying medical state.
-
D.
manifestationsInclude
Indicates that one entity’s manifestations or concrete expressions contain or encompass those of another entity.
-
E.
oftenAccompaniedBy
chosen
Indicates that one entity is frequently found together with, occurs alongside, or is commonly associated in presence or use with another entity.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9037848f481908276716675464464 |
completed | April 10, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69d8bb40f30c8190a0e0719bd67542bf |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.