Triple
T28019725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gauge 1 |
E707652
|
entity |
| Predicate | controlSystems |
P180614
|
FINISHED |
| Object | analog DC control |
—
|
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: analog DC control | Statement: [Gauge 1, controlSystems, analog DC control]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: controlSystems Context triple: [Gauge 1, controlSystems, analog DC control]
-
A.
controlInnovation
Indicates that one entity directs, regulates, or significantly influences the innovation activities or outcomes of another entity.
-
B.
controlsSystem
Indicates that one entity has the authority or capability to direct, manage, or regulate the operation of a system.
-
C.
controlMethods
Indicates the methods or techniques used by one entity to direct, regulate, or influence the behavior, operation, or state of another entity.
-
D.
controlApp
Indicates that one entity has the ability or authority to operate, manage, or direct the behavior of an application.
-
E.
requiresControlSystem
Indicates that one entity depends on or mandates the presence of a control system associated with another entity in order to function or be valid.
- 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_69ef96baf3a881909a2b63844185dddd |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f74654c09c819084879162eba9d641 |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 27, 2026, 8:09 p.m.