Triple
T3064237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Block 1 |
E62064
|
entity |
| Predicate | configurationRole |
P44182
|
FINISHED |
| Object | initial operational configuration |
—
|
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: initial operational configuration | Statement: [Block 1, configurationRole, initial operational configuration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: configurationRole Context triple: [Block 1, configurationRole, initial operational configuration]
-
A.
systemRole
Indicates the functional position or responsibility that an entity holds within a larger system or structure.
-
B.
definesRole
Indicates that one entity specifies or establishes the role, function, or position of another entity within a given context.
-
C.
securityRole
Indicates that an entity holds a specific security-related role, permission level, or access profile within a system or context.
-
D.
unitRole
Indicates the functional role or purpose that a unit serves within a larger system or context.
-
E.
typeOfRole
Indicates that one entity specifies the kind or category of role that another entity holds or performs.
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9ea2154c8190ab243feb77170a15 |
completed | March 8, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69ad9624b7a0819091d255614f5819ea |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f7630c81908e1ca8a69611cff6 |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 3:02 p.m.