Triple
T7897342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | System.Collections |
E183369
|
entity |
| Predicate | containsInterface |
P12981
|
FINISHED |
| Object | ICollection |
—
|
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: ICollection | Statement: [System.Collections, containsInterface, ICollection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsInterface Context triple: [System.Collections, containsInterface, ICollection]
-
A.
hasInterface
chosen
Indicates that one entity provides, exposes, or is connected through a defined interface to another entity.
-
B.
usesInterface
Indicates that one entity interacts with or operates another entity through a specified interface or set of interface methods.
-
C.
hasInterfaceCategory
Indicates that an interface is classified as belonging to a particular category or type of interface.
-
D.
usedInInterface
Indicates that something is employed or incorporated as a component or element within a user interface.
-
E.
usesImplement
Indicates that one entity employs or makes use of another entity as a tool, instrument, or means to perform an action or achieve a 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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a296db8819084c620b12f77acb5 |
completed | March 31, 2026, 3:06 a.m. |
| PD | Predicate disambiguation | batch_69cae92d94448190b4425bbfb64c658c |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:01 p.m.