Triple
T17517801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of B-R5RB |
E426608
|
entity |
| Predicate | timeDilationLevel |
P127740
|
FINISHED |
| Object | 10 percent game speed |
—
|
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: 10 percent game speed | Statement: [Battle of B-R5RB, timeDilationLevel, 10 percent game speed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeDilationLevel Context triple: [Battle of B-R5RB, timeDilationLevel, 10 percent game speed]
-
A.
timePerception
Indicates how an entity subjectively experiences, interprets, or estimates the passage and duration of time.
-
B.
timeScaleOfChange
Indicates the characteristic rate or temporal scale over which a change, process, or transition occurs.
-
C.
timeScaleType
Indicates the type or category of temporal scaling applied to an event, process, or measurement (e.g., real-time, accelerated, aggregated).
-
D.
timeScaleCategory
Indicates the classification of an event or process based on the temporal scale or duration over which it occurs.
-
E.
timeScaleStandard
Indicates the standard or convention used to define, measure, or interpret the time scale associated with an event or process.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452615a8481909974e9855ea7a8e4 |
completed | April 19, 2026, 3:56 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f8b9888190aa8a45e09acf4319 |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb37d148190b7f38599c06594ee |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:49 a.m.