Triple
T26242276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lattice ECP5 |
E656346
|
entity |
| Predicate | logicCapacityRange |
P160394
|
FINISHED |
| Object | approximately 12K to 85K LUTs |
—
|
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: approximately 12K to 85K LUTs | Statement: [Lattice ECP5, logicCapacityRange, approximately 12K to 85K LUTs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: logicCapacityRange Context triple: [Lattice ECP5, logicCapacityRange, approximately 12K to 85K LUTs]
-
A.
logicCapacity
Indicates that an entity has the ability or capacity to perform logical reasoning or operations.
-
B.
dataCapacity
Indicates the maximum amount of data that something can store, handle, or transmit.
-
C.
dataCapacityDigits
Indicates the number of decimal digits used to represent or specify a data capacity value.
-
D.
rangeCapability
Indicates the maximum distance or extent over which an entity can effectively operate, function, or exert its effect.
-
E.
offersCapacityRange
Indicates that an entity provides or makes available a service, product, or resource whose capacity is specified as a range between a minimum and maximum value.
- 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_69ee5b4c59a881909d9ee4fd013fffd5 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f60d8f7f9c8190bb8cb8f8ac4c0ca5 |
completed | May 2, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fd90fc81909055b211368f9139 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f600be0de88190989611e952b03117 |
completed | May 2, 2026, 1:48 p.m. |
Created at: April 26, 2026, 9:04 p.m.