Triple
T29348418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DV-5 |
E744234
|
entity |
| Predicate | controlArchitecture |
P191687
|
FINISHED |
| Object | central robot with multiple subsidiary units |
—
|
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: central robot with multiple subsidiary units | Statement: [DV-5, controlArchitecture, central robot with multiple subsidiary units]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: controlArchitecture Context triple: [DV-5, controlArchitecture, central robot with multiple subsidiary units]
-
A.
controlsSystem
Indicates that one entity has the authority or capability to direct, manage, or regulate the operation of a system.
-
B.
controlMethods
Indicates the methods or techniques used by one entity to direct, regulate, or influence the behavior, operation, or state of another entity.
-
C.
controlApp
Indicates that one entity has the ability or authority to operate, manage, or direct the behavior of an application.
-
D.
controlInnovation
Indicates that one entity directs, regulates, or significantly influences the innovation activities or outcomes of another entity.
-
E.
controlSystems
Indicates that one entity directs, regulates, or manages the behavior or operation of another system or process.
- 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_69f0a79a2d748190bc30abd469298b37 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69fce76669408190b1beef8899a8a5e2 |
completed | May 7, 2026, 7:26 p.m. |
Created at: April 28, 2026, 2:04 p.m.