Triple
T33433659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TextEncoderStream |
E856193
|
entity |
| Predicate | supportsEncodingChange |
P206467
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [TextEncoderStream, supportsEncodingChange, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsEncodingChange Context triple: [TextEncoderStream, supportsEncodingChange, false]
-
A.
usesEncodingRules
Indicates that one entity applies or conforms to a specified set of encoding rules when representing or transforming information.
-
B.
encodingIndependence
Indicates that a relationship or property holds regardless of the specific encoding or representation used for the involved entities.
-
C.
encodingIs
Indicates that one entity serves as the specific encoding or coded representation of another entity.
-
D.
supportsMigrationOf
Indicates that one entity enables, facilitates, or is compatible with the migration or transfer of another entity from one environment, system, or context to another.
-
E.
usesEncoder
Indicates that one entity employs or relies on an encoder component or mechanism to perform its function or process data.
- 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_69f349709e7881908c342b4d34f555f4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f505c88190ac0879ab422c3054 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:36 a.m.