Triple
T14030416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | golden ratio |
E337571
|
entity |
| Predicate | reciprocalEquals |
P7398
|
FINISHED |
| Object | φ - 1 |
—
|
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: φ - 1 | Statement: [golden ratio, reciprocalEquals, φ - 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reciprocalEquals Context triple: [golden ratio, reciprocalEquals, φ - 1]
-
A.
hasEquivalent
chosen
Indicates that two entities are considered equal in value, meaning, or function within a given context.
-
B.
hasMinimalSumOfReciprocals
Indicates that the related entities are arranged or selected such that the sum of the reciprocals of certain associated values is as small as possible compared to alternatives.
-
C.
isInverseOf
Indicates that one relation reverses the direction of another, so that if the original relates A to B, its inverse relates B to A.
-
D.
commensurableWith
Indicates that two quantities share a common measure, meaning their sizes can be expressed as integer multiples of the same unit.
-
E.
isEquiconsistentWith
Indicates that two formal theories or systems have the same consistency strength, such that if one is consistent then the other is also consistent, and if one is inconsistent then so is the other.
- 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.