Triple
T10328779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ReadableByteStreamController |
E242825
|
entity |
| Predicate | enqueueMethodEffect |
P93425
|
FINISHED |
| Object | adds a chunk to the internal queue |
—
|
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: adds a chunk to the internal queue | Statement: [ReadableByteStreamController, enqueueMethodEffect, adds a chunk to the internal queue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enqueueMethodEffect Context triple: [ReadableByteStreamController, enqueueMethodEffect, adds a chunk to the internal queue]
-
A.
sideEffectManagement
Indicates the relationship in which an action or intervention is used to monitor, reduce, or control the side effects caused by another action, treatment, or condition.
-
B.
sideEffect
Indicates that one entity is an unintended or secondary effect resulting from the use or occurrence of another entity.
-
C.
measuredEffect
Indicates that an action or process has produced a specific, quantified outcome or impact on something.
-
D.
registrationEffect
Indicates the outcome or consequence that results from an entity being registered or from the act of registration taking place.
-
E.
tookEffect
Indicates that a change, rule, condition, or event became active, operative, or started producing its intended consequences.
- 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_69d4d7cfd54c8190b6f88598339536d1 |
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.