Triple
T27615164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dynamic Language Runtime |
E700420
|
entity |
| Predicate | enablesFeatureIn |
P203
|
FINISHED |
| Object | C# 4.0 dynamic keyword |
—
|
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: C# 4.0 dynamic keyword | Statement: [Dynamic Language Runtime, enablesFeatureIn, C# 4.0 dynamic keyword]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enablesFeatureIn Context triple: [Dynamic Language Runtime, enablesFeatureIn, C# 4.0 dynamic keyword]
-
A.
supportsFeature
chosen
Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
-
B.
enablesTechnology
Indicates that one entity makes it possible for another entity, system, or process to function through the use or provision of a particular technology.
-
C.
canEnable
Indicates that one entity has the capability or authority to activate, turn on, or make another entity or function operational.
-
D.
enablesService
Indicates that one entity provides the capability or necessary conditions for another entity to offer or perform a specific service.
-
E.
featureFlag
Indicates that a particular functionality or behavior is conditionally enabled or disabled for an entity based on a configurable flag.
- 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_69ef6a4f1d9c8190b0705acda054368d |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f65876c52c8190bc889c7a67bd07f3 |
completed | May 2, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 27, 2026, 2:12 p.m.