Triple
T6482557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gamma function |
E146428
|
entity |
| Predicate | hasReflectionFormula |
P71172
|
FINISHED |
| Object | Γ(z)Γ(1−z)=π/sin(πz) |
—
|
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: Γ(z)Γ(1−z)=π/sin(πz) | Statement: [Gamma function, hasReflectionFormula, Γ(z)Γ(1−z)=π/sin(πz)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReflectionFormula Context triple: [Gamma function, hasReflectionFormula, Γ(z)Γ(1−z)=π/sin(πz)]
-
A.
hasSymbolicForm
Indicates that one entity serves as the symbolic representation or abstract form of another entity.
-
B.
hasFormulation
Indicates that one entity is expressed, prepared, or configured in a particular form or composition defined by another entity.
-
C.
hasFormulaOnTombstone
Indicates that a tombstone bears a specific written formula or inscription on it.
-
D.
hasReflectionNebula
Indicates that one entity possesses or is associated with a reflection nebula.
-
E.
hasNameInFormula
Indicates that an entity is referred to by a specific name or symbol within a formula or formal expression.
- 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_69c0090158c08190af0df9a2348d2d52 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a6cd0c4819085a921e6a361d91c |
completed | March 22, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69c0673f6d48819080e10c85155c7195 |
completed | March 22, 2026, 10:03 p.m. |
| PDg | Predicate description generation | batch_69c06822f73081908e6bb9edecbe77a6 |
completed | March 22, 2026, 10:07 p.m. |
Created at: March 22, 2026, 4:51 p.m.