Triple
T24521496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NI CompactDAQ |
E606540
|
entity |
| Predicate | compatibleSoftware |
P34360
|
FINISHED |
| Object | NI LabVIEW |
—
|
NE NERFINISHED |
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: NI LabVIEW | Statement: [NI CompactDAQ, compatibleSoftware, NI LabVIEW]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compatibleSoftware Context triple: [NI CompactDAQ, compatibleSoftware, NI LabVIEW]
-
A.
hasSoftwareCompatibilityWith
chosen
Indicates that one software system can operate correctly and effectively with another software system, without conflicts or required modifications.
-
B.
compatibleSign
Indicates that two entities are considered astrologically harmonious or well-matched based on their zodiac signs.
-
C.
compatibleStand
Indicates that one entity can be properly supported or held by another entity’s stand or mounting system.
-
D.
hasHardwareCompatibilityWith
Indicates that two hardware components or systems can operate together correctly and reliably without conflicts or incompatibilities.
-
E.
compatibilityCondition
Indicates that a specific requirement or set of criteria must be satisfied for two or more entities to be considered compatible or able to function together.
- 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_69e2c4c85778819085f5da9af3569ad5 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:24 a.m.