Triple
T10328522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WritableStream |
E242820
|
entity |
| Predicate | defaultWriterType |
P93400
|
FINISHED |
| Object | WritableStreamDefaultWriter |
—
|
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: WritableStreamDefaultWriter | Statement: [WritableStream, defaultWriterType, WritableStreamDefaultWriter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defaultWriterType Context triple: [WritableStream, defaultWriterType, WritableStreamDefaultWriter]
-
A.
primaryWriter
Indicates that one entity serves as the main or lead author responsible for creating or composing another entity.
-
B.
writTypes
Indicates the types or categories of writs (formal written legal orders) associated with an action or entity.
-
C.
defaultInterpreterWrittenIn
Indicates that the default interpreter or runtime environment for a given system, language, or program is implemented using a specified programming language.
-
D.
defaultStandardOutput
Indicates that the specified output channel or format is used as the normal or fallback destination for results when no alternative is explicitly chosen.
-
E.
bookWriter
Indicates that a person is the author who wrote the specified book.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7cf21e08190bf605daeea0d9dcf |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f64a648190a79980d647898eb0 |
completed | April 7, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69d4d7cada7881908beba55a1dc9ecb9 |
completed | April 7, 2026, 10:09 a.m. |
Created at: April 6, 2026, 11:52 a.m.