Triple
T3780616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blitzscaling |
E85406
|
entity |
| Predicate | tradeoff |
P28908
|
FINISHED |
| Object | efficiency for 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: efficiency for speed | Statement: [Blitzscaling, tradeoff, efficiency for speed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tradeoff Context triple: [Blitzscaling, tradeoff, efficiency for speed]
-
A.
hasTradeoff
chosen
Indicates that one option or outcome involves a compromise in which gaining certain benefits requires accepting corresponding costs or disadvantages.
-
B.
compromiseBetween
Indicates a relationship in which two or more parties mutually adjust their positions or demands to reach a middle-ground agreement.
-
C.
transition
Indicates a change of state or condition from one form, phase, or situation to another.
-
D.
hasDesignTradeoff
Indicates that one design choice involves compromises or conflicting benefits and drawbacks relative to other possible designs.
-
E.
disadvantage
Indicates that one entity is in a less favorable, weaker, or hindered position relative to another in a given context.
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee634c6ac819099653c660c286746 |
completed | March 9, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69aee3d3c92c819081d9d5c45ef37a5d |
completed | March 9, 2026, 3:14 p.m. |
Created at: March 9, 2026, 3:12 p.m.