Triple
T14334586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramanujan–Petersson conjecture |
E355436
|
entity |
| Predicate | hasLocalForm |
P70766
|
FINISHED |
| Object | bounds on Satake parameters |
—
|
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: bounds on Satake parameters | Statement: [Ramanujan–Petersson conjecture, hasLocalForm, bounds on Satake parameters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalForm Context triple: [Ramanujan–Petersson conjecture, hasLocalForm, bounds on Satake parameters]
-
A.
hasLocalExpression
chosen
Indicates that something has a specific form, representation, or manifestation that is valid or defined only within a particular local context or region.
-
B.
hasForm
Indicates that one entity possesses, exhibits, or is characterized by a particular shape, structure, or configuration.
-
C.
hasComponentForm
Indicates that one entity exists as a structural or compositional form or variant of another entity.
-
D.
hasRealForm
Indicates that an abstract, conceptual, or non-physical entity is associated with a concrete, physical manifestation or embodiment.
-
E.
hasLocalCharacter
Indicates that something possesses qualities, features, or significance that are specific to a particular locality or region.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c20d2148190bb534bef338e871d |
completed | April 14, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69de2a9515f4819081aabf251bca5878 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:13 a.m.