Triple
T17341026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banach–Mazur distance |
E421065
|
entity |
| Predicate | definitionInWords |
P127091
|
FINISHED |
| Object | infimum over linear isomorphisms of the product of the operator norm and the norm of the inverse |
—
|
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: infimum over linear isomorphisms of the product of the operator norm and the norm of the inverse | Statement: [Banach–Mazur distance, definitionInWords, infimum over linear isomorphisms of the product of the operator norm and the norm of the inverse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definitionInWords Context triple: [Banach–Mazur distance, definitionInWords, infimum over linear isomorphisms of the product of the operator norm and the norm of the inverse]
-
A.
numberDescribedAs
Indicates that a number is characterized, labeled, or referred to using a particular description or phrase.
-
B.
lengthInWords
Indicates the number of words that make up the length of something, typically a text or expression.
-
C.
expressedInText
Indicates that a particular idea, statement, or piece of information is explicitly conveyed within a given text.
-
D.
spellsOut
Indicates that one entity explicitly writes, states, or presents another entity in full detail, often by expanding an abbreviation, code, or symbolic form into its complete representation.
-
E.
wordDefinition
Indicates that one entity provides the meaning or explanation of a word represented by the other entity.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a15f6488190ad7d489e7391ab12 |
completed | April 19, 2026, 2:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b021a5bc81909ae55406f9d0b37f |
completed | April 18, 2026, 4:24 p.m. |
| PDg | Predicate description generation | batch_69e3b2a225b08190a50f984caa6513b9 |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:44 a.m.