Triple
T4410539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramanujan partition congruences |
E94841
|
entity |
| Predicate | thirdCongruenceModulus |
P56107
|
FINISHED |
| Object | 11 |
—
|
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: 11 | Statement: [Ramanujan partition congruences, thirdCongruenceModulus, 11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdCongruenceModulus Context triple: [Ramanujan partition congruences, thirdCongruenceModulus, 11]
-
A.
thirdConsul
Indicates that an entity holds the position or role of the third consul in a specified governing body or context.
-
B.
EuclideanFunction
Indicates a relationship defined by a Euclidean distance–based function, typically mapping entities or their attributes to values derived from Euclidean metric properties.
-
C.
isQuotientOf
Indicates that one quantity is the result of dividing another quantity by a specified divisor.
-
D.
isThirdLargestIn
Indicates that an entity ranks as the third largest member within a specified group or set based on size or magnitude.
-
E.
hasThirdTerm
Indicates that an entity is associated with or includes a specific third term in an ordered sequence or grouping.
- F. None of above. chosen
Provenance (4 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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b354e4c58c8190b4190aad3095a1dd |
completed | March 13, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69b34f5b36a881909bf2e970aa523390 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b3509997208190933f167f7e20ccfa |
completed | March 12, 2026, 11:47 p.m. |
Created at: March 12, 2026, 11:29 p.m.