Triple
T20542633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Is a Magic Number |
E504385
|
entity |
| Predicate | focusesOnNumber |
P82496
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Three Is a Magic Number, focusesOnNumber, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusesOnNumber Context triple: [Three Is a Magic Number, focusesOnNumber, 3]
-
A.
focusesOn
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
B.
numericTypeFocus
chosen
Indicates that the relationship or context specifically concerns the numeric type or numerical aspect of the associated entities or values.
-
C.
focusesOnFormat
Indicates that something concentrates its attention or effort specifically on the structure, style, or presentation format of another entity.
-
D.
positionOnNumbers
Indicates a relationship where one entity occupies a specific numerical position or rank relative to others in an ordered sequence of numbers.
-
E.
focusOf
Indicates that one entity is the primary subject, target, or center of attention, activity, or interest for 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_69e0b4b476648190bc6019622ae54d3c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a293feac8190b27848b64f2db1fe |
completed | April 20, 2026, 10:03 p.m. |
| PD | Predicate disambiguation | batch_69e59fe5592c8190bb6122b784496d02 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:38 a.m.