Triple
T6524978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NI roboRIO |
E151279
|
entity |
| Predicate | hasAnalogInputChannels |
P71412
|
FINISHED |
| Object | multiple |
—
|
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: multiple | Statement: [NI roboRIO, hasAnalogInputChannels, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAnalogInputChannels Context triple: [NI roboRIO, hasAnalogInputChannels, multiple]
-
A.
isAnalogOrDigital
Indicates whether something operates using analog signals/representation or digital signals/representation.
-
B.
hasNumberOfAmplifierChannels
Indicates the relationship that specifies how many amplifier channels are present or supported in the associated entity.
-
C.
hasCommunicationInterface
Indicates that one entity provides or supports a specific means or channel through which it can communicate or exchange data with another entity or system.
-
D.
hasSpectralChannel
Indicates that something possesses or is associated with a specific spectral channel or band within an electromagnetic spectrum.
-
E.
hasNumberOfElectrodes
Indicates the relationship that specifies how many electrodes are associated with a given 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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ad9831f88190a2b64cf6bc8c9a11 |
completed | March 27, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69c68abbc7148190a8270d47fe10cc31 |
completed | March 27, 2026, 1:48 p.m. |
| PDg | Predicate description generation | batch_69c69f362ee4819090e8fa48caef7d7d |
completed | March 27, 2026, 3:16 p.m. |
Created at: March 27, 2026, 1:45 p.m.