Triple
T17021365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Five Ways |
E412953
|
entity |
| Predicate | hasNumberOfArguments |
P21071
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Five Ways, hasNumberOfArguments, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfArguments Context triple: [Five Ways, hasNumberOfArguments, 5]
-
A.
hasArgument
Indicates that one entity serves as an argument (such as an input, parameter, or participant) in relation to another entity, typically a function, event, or statement.
-
B.
parameterCount
chosen
Indicates the number of parameters associated with a given function, method, or callable entity.
-
C.
hasNumberOfConditions
Indicates that an entity is associated with a specific count of conditions it has or is subject to.
-
D.
hasOverload
Indicates that an entity defines multiple variants (overloads) of the same operation or function, typically distinguished by differing parameters or signatures.
-
E.
hasNumberOfTerms
Indicates the quantity of distinct terms or elements associated with a given entity or expression.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d0dc848190a267f8542dfb86a6 |
completed | April 18, 2026, 7:04 p.m. |
| PD | Predicate disambiguation | batch_69e35d5be7f48190af9db67a1e23850f |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.