Triple
T28616163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GetEnvironmentVariable |
E724277
|
entity |
| Predicate | characterSetVariants |
P189430
|
FINISHED |
| Object | GetEnvironmentVariableA |
—
|
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: GetEnvironmentVariableA | Statement: [GetEnvironmentVariable, characterSetVariants, GetEnvironmentVariableA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterSetVariants Context triple: [GetEnvironmentVariable, characterSetVariants, GetEnvironmentVariableA]
-
A.
featuresCharacterVariant
Indicates that one entity includes or presents an alternative or variant form of a character represented by another entity.
-
B.
styleVariants
Indicates that an entity has alternative stylistic forms or versions related to it.
-
C.
characterSetType
Indicates the type or category of character set associated with or used by an entity.
-
D.
symbolVariant
Indicates that one symbol is an alternative graphical or stylistic form of another symbol.
-
E.
characterSetStorage
Indicates that a particular character set is used for storing data in a given context or system.
- 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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69fbc36bcac48190a726b40442c094d1 |
completed | May 6, 2026, 10:40 p.m. |
Created at: April 28, 2026, 4:32 a.m.