Triple
T27733785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | System.ValueTuple |
E697486
|
entity |
| Predicate | supportsGenerics |
P185301
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [System.ValueTuple, supportsGenerics, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsGenerics Context triple: [System.ValueTuple, supportsGenerics, true]
-
A.
isGenericAvailable
Indicates that a non-brand (generic) version of a product, typically a medication, is available as an alternative.
-
B.
appliesToGenericTypes
chosen
Indicates that something is relevant or applicable specifically to generic type parameters or generic type definitions.
-
C.
isGenericOver
Indicates that one entity is defined or parameterized in terms of another, more specific entity, such that it can operate over or apply to that entity as a generic.
-
D.
supportsType
Indicates that one entity is capable of handling, accepting, or being compatible with a specified type.
-
E.
hasGenericUse
Indicates that something is used in a general, non-specific, or broadly applicable way rather than for a particular, specialized purpose.
- 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_69ef590c3e288190ad54d2465af8ca4e |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69ffc516d1908190b475f5a6156b0ca8 |
completed | May 9, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69ffc4a946e08190b3535a5dc15ac484 |
completed | May 9, 2026, 11:35 p.m. |
Created at: April 27, 2026, 3:12 p.m.