Triple
T36872541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | typing.FrozenSet |
E911259
|
entity |
| Predicate | moduleQualifiedName |
P186622
|
FINISHED |
| Object | typing.FrozenSet |
—
|
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: typing.FrozenSet | Statement: [typing.FrozenSet, moduleQualifiedName, typing.FrozenSet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: moduleQualifiedName Context triple: [typing.FrozenSet, moduleQualifiedName, typing.FrozenSet]
-
A.
assemblyQualifiedName
Indicates that one entity specifies the fully qualified name of a type, including its namespace, assembly, and version information, for another entity.
-
B.
moduleOf
Indicates that one entity functions as a component or sub-unit that belongs to, or is contained within, another larger entity.
-
C.
moduloPatternName
Indicates that an entity is associated with a specific naming pattern used for modulo-based grouping or partitioning.
-
D.
moduleLocation
Indicates the physical or logical place where a module is situated or deployed.
-
E.
moduleType
Indicates the classification or category of a module in terms of its functional or structural type.
- 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.