Triple
T26966775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NL |
E679191
|
entity |
| Predicate | logspaceReductionsUsedFor |
P3630
|
FINISHED |
| Object | NL-completeness |
—
|
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: NL-completeness | Statement: [NL, logspaceReductionsUsedFor, NL-completeness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: logspaceReductionsUsedFor Context triple: [NL, logspaceReductionsUsedFor, NL-completeness]
-
A.
reducesTo
chosen
Indicates that one expression, structure, or state can be transformed or simplified into another, typically more basic or canonical, form.
-
B.
reducedPowerOf
Indicates that one entity has a diminished or weakened level of power, authority, or effectiveness relative to another or to its previous state.
-
C.
reducedNumberOf
Indicates that the subject has a smaller quantity or count of the specified object or attribute compared to a prior state or reference level.
-
D.
reducedRepresentationOf
Indicates that one entity is a simplified, compressed, or lower-detail version of another entity while preserving its essential information or structure.
-
E.
isReducedDuringUseTo
Indicates that the quantity, intensity, or effectiveness of one entity decreases as a direct result of being used or consumed.
- 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_69eeeb4f3a448190b1e94b2d4776c16e |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f621210b788190ab9e910cd635f366 |
completed | May 2, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 6:36 a.m.