Triple
T14030371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | golden ratio |
E337571
|
entity |
| Predicate | hasConjugate |
P107624
|
FINISHED |
| Object | (1 - √5) / 2 |
—
|
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: (1 - √5) / 2 | Statement: [golden ratio, hasConjugate, (1 - √5) / 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConjugate Context triple: [golden ratio, hasConjugate, (1 - √5) / 2]
-
A.
hasConjugateField
Indicates that one field is the conjugate (typically complex-conjugate-related) counterpart of another field.
-
B.
hasConjugationOperation
Indicates that there exists an operation that transforms an entity into its conjugate form (e.g., algebraic, complex, or grammatical conjugation).
-
C.
hasConjugateBase
Indicates that one chemical species is the conjugate base formed when another species donates a proton (H⁺).
-
D.
conjugateVariable
chosen
Indicates that one variable is the conjugate counterpart of another, typically related by a conjugation operation such as complex, algebraic, or canonical conjugation.
-
E.
hasConjugateFundamentalRepresentation
Indicates that one entity serves as the conjugate (dual) of the fundamental representation associated 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fa9f8248190930954d609dee5f1 |
completed | April 14, 2026, 12:14 p.m. |
| PD | Predicate disambiguation | batch_69de05ab36b48190920efb1869bdb1fe |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:20 p.m.