Triple
T36872561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | typing.FrozenSet |
E911259
|
entity |
| Predicate | typeCheckerBehavior |
P186624
|
FINISHED |
| Object | treats FrozenSet[T] as frozenset[T] at runtime |
—
|
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: treats FrozenSet[T] as frozenset[T] at runtime | Statement: [typing.FrozenSet, typeCheckerBehavior, treats FrozenSet[T] as frozenset[T] at runtime]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeCheckerBehavior Context triple: [typing.FrozenSet, typeCheckerBehavior, treats FrozenSet[T] as frozenset[T] at runtime]
-
A.
typeCheckerName
Indicates the name or identifier assigned to a specific type checker used to validate or analyze types.
-
B.
hasTypeChecker
Indicates that an entity is associated with or utilizes a specific type checker component or mechanism.
-
C.
checkingType
Indicates that one entity is verifying, inspecting, or assessing the type or category of another entity.
-
D.
typeComparedAs
Indicates that two entities are being compared with respect to their types or classifications.
-
E.
canBeTypeOf
Indicates that one entity is capable of serving as, or being classified as, a particular type or category of another entity.
- 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_69f76e82339881909607a65c0503d941 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fe1a1ca4819084c196f0041f0be2 |
completed | May 5, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69f7cf7890008190a8bc355ff2d61c86 |
completed | May 3, 2026, 10:43 p.m. |
| PDg | Predicate description generation | batch_69f9fd66eed48190bdc26a8def328c2d |
completed | May 5, 2026, 2:23 p.m. |
Created at: May 3, 2026, 4:13 p.m.