Triple
T20126609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ariyo Atthangiko Maggo |
E490772
|
entity |
| Predicate | hasNumberOfFactors |
P114017
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [Ariyo Atthangiko Maggo, hasNumberOfFactors, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfFactors Context triple: [Ariyo Atthangiko Maggo, hasNumberOfFactors, 8]
-
A.
hasDivisorsCount
chosen
Indicates that an entity (typically a number) is associated with the specific count of its divisors.
-
B.
hasDenominatorFactor
Indicates that one value appears as a factor in the denominator of another value or expression.
-
C.
hasPrimeDecomposition
Indicates that an entity is associated with the factorization of a number into its constituent prime factors.
-
D.
hasPrimeDivisors
Indicates that one entity (typically a number) has the other entity or entities as its prime divisors.
-
E.
hasNumberOfFeaturesDescribed
Indicates that an entity is associated with a specific count of its features that have been described.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66743494c81908e63a5efca3aa3ea |
completed | April 20, 2026, 5:49 p.m. |
| PD | Predicate disambiguation | batch_69e54cfb0d0081908e789b9b57e96668 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:31 p.m.