Triple
T10991064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reduce |
E259753
|
entity |
| Predicate | supportsArbitraryPrecisionArithmetic |
P96484
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Reduce, supportsArbitraryPrecisionArithmetic, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsArbitraryPrecisionArithmetic Context triple: [Reduce, supportsArbitraryPrecisionArithmetic, true]
-
A.
supportsFloatingPoint
Indicates that an entity is capable of handling or operating with floating-point (non-integer) numeric values.
-
B.
supportsPrecisionLevels
Indicates that one entity is capable of operating at, or accommodating, multiple specified levels of precision in relation to another entity or process.
-
C.
hasIntegralRepresentation
Indicates that one entity can be expressed or represented as an integral involving the other entity.
-
D.
numericCoprocessorSupport
Indicates that a system or processor includes and can utilize a dedicated numeric coprocessor for performing arithmetic or mathematical operations.
-
E.
supportsQuantization
Indicates that one entity is capable of operating with, or is compatible with, quantized representations or computations of another entity.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d787b8d7088190b7d6b63c3bac4ad1 |
completed | April 9, 2026, 11:04 a.m. |
| PD | Predicate disambiguation | batch_69d72e9055908190b438f039574aaaaf |
completed | April 9, 2026, 4:44 a.m. |
| PDg | Predicate description generation | batch_69d732242fdc8190be77d1f730a42935 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:24 p.m.