Triple
T14334691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | highly composite number |
E355438
|
entity |
| Predicate | hasDivisorsCount |
P114017
|
FINISHED |
| Object | 1 has 1 divisor |
—
|
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 has 1 divisor | Statement: [highly composite number, hasDivisorsCount, 1 has 1 divisor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDivisorsCount Context triple: [highly composite number, hasDivisorsCount, 1 has 1 divisor]
-
A.
hasPrimeDivisors
Indicates that one entity (typically a number) has the other entity or entities as its prime divisors.
-
B.
hasPrimeDivisor
Indicates that one entity (typically a number) has another entity as a prime number that divides it without remainder.
-
C.
isDividedBy
Indicates that one quantity or entity serves as the divisor that evenly or proportionally separates another quantity or entity into parts.
-
D.
hasPrimeDivisorsOfOrder
Indicates that one entity possesses prime divisors whose multiplicities (orders in its factorization) satisfy a specified relational condition with respect to another entity.
-
E.
hasPrimeDecomposition
Indicates that an entity is associated with the factorization of a number into its constituent prime factors.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c20d2148190bb534bef338e871d |
completed | April 14, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69de2a9515f4819081aabf251bca5878 |
completed | April 14, 2026, 11:52 a.m. |
| PDg | Predicate description generation | batch_69de2e9ded24819099200349cf80e068 |
completed | April 14, 2026, 12:10 p.m. |
Created at: April 10, 2026, 1:13 a.m.