Triple
T9027673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple R1 |
E216087
|
entity |
| Predicate | latencyTarget |
P45126
|
FINISHED |
| Object | 12 milliseconds |
—
|
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: 12 milliseconds | Statement: [Apple R1, latencyTarget, 12 milliseconds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: latencyTarget Context triple: [Apple R1, latencyTarget, 12 milliseconds]
-
A.
communicationLatency
chosen
Indicates the time delay between when a communication is sent by one entity and when it is received or processed by another.
-
B.
algorithmicDelay
Indicates a time lag or postponement that arises specifically from the execution or processing steps of an algorithm.
-
C.
intendedResponseTime
Indicates the expected or planned amount of time within which a response should be given or received.
-
D.
integratedLuminosityTarget
Indicates the intended total accumulated luminosity to be achieved over a specified period or dataset in an experiment or observation.
-
E.
targetInflationRate
Indicates the inflation level that a monetary authority aims to achieve and maintain over a specified period.
- F. None of above.
Provenance (3 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_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a7fcb308190af90d6be8700e498 |
completed | April 1, 2026, 12:44 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee132f08190940749c7c522e4c1 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:07 p.m.