Triple
T10328616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ReadableStreamDefaultReader |
E242822
|
entity |
| Predicate | readReturns |
P93409
|
FINISHED |
| Object | object with value and done properties |
—
|
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: object with value and done properties | Statement: [ReadableStreamDefaultReader, readReturns, object with value and done properties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: readReturns Context triple: [ReadableStreamDefaultReader, readReturns, object with value and done properties]
-
A.
readBy
Indicates that a particular text, document, or content item has been read or consumed by a specific person or agent.
-
B.
readsFrom
Indicates that one entity obtains or accesses data, information, or content from another entity as a source.
-
C.
readAfter
Indicates that one entity performs a reading action only after another specified event, action, or reading has occurred.
-
D.
readsTo
Indicates that one entity reads or recites content aloud for the benefit of another entity.
-
E.
readout
Indicates that one entity reports, displays, or outputs the measured or computed value 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_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.