Triple
T21088280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karp reduction |
E519560
|
entity |
| Predicate | mappingType |
P142789
|
FINISHED |
| Object | many-one reduction |
—
|
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: many-one reduction | Statement: [Karp reduction, mappingType, many-one reduction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mappingType Context triple: [Karp reduction, mappingType, many-one reduction]
-
A.
mapsType
Indicates that one entity serves as a mapping whose values or outputs are of the specified type.
-
B.
mappingSource
Indicates that one entity serves as the origin or provider of a mapping or correspondence that defines how elements relate between two representations or systems.
-
C.
mapsTo
Indicates that one entity is associated with or transformed into another entity, typically defining a directional correspondence or function from a source to a target.
-
D.
mappingSupportBy
Indicates that one entity provides support, resources, or functionality enabling another entity to perform or maintain a mapping between elements.
-
E.
mappingMethods
Indicates a relationship where one entity defines or uses specific methods or procedures to map, convert, or translate data or elements from one form, structure, or domain to another.
- 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7094cebe08190bb10f51a45c244ec |
completed | April 21, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69e5dbfcd5e881908f1e4e0d2d237856 |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2e03d88819086f8b641656ad8b0 |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:50 p.m.