Triple
T24823146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yoneda lemma |
E621111
|
entity |
| Predicate | bearsOn |
P132743
|
FINISHED |
| Object | foundations of modern category-theoretic mathematics |
—
|
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: foundations of modern category-theoretic mathematics | Statement: [Yoneda lemma, bearsOn, foundations of modern category-theoretic mathematics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bearsOn Context triple: [Yoneda lemma, bearsOn, foundations of modern category-theoretic mathematics]
-
A.
bears
Indicates that one entity carries, supports, or endures the weight, burden, or responsibility of another entity or condition.
-
B.
bearsOnBreast
Indicates that one entity is depicted or represented as being carried or displayed on the breast or chest area of another entity.
-
C.
isBear
Indicates that the subject is classified as a bear.
-
D.
bearsOnProtagonist
chosen
Indicates that something has a direct impact, influence, or relevance to the protagonist.
-
E.
onlyNativeBearOf
Indicates that one entity is the sole bear species naturally occurring in the specified geographic region or habitat.
- 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_69e2fabfd4648190bd0e5c7f4dbb6cab |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f42d9000b8819081ea2605f3c193d6 |
completed | May 1, 2026, 4:35 a.m. |
| PD | Predicate disambiguation | batch_69f420f471a0819095a6cd24ed8f7476 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:05 a.m.