Triple
T8609980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calculate Linux |
E203892
|
entity |
| Predicate | deploymentFocus |
P83862
|
FINISHED |
| Object | easy deployment |
—
|
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: easy deployment | Statement: [Calculate Linux, deploymentFocus, easy deployment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deploymentFocus Context triple: [Calculate Linux, deploymentFocus, easy deployment]
-
A.
distributionFocus
Indicates that the primary emphasis or priority within a process, strategy, or system is placed on how something is distributed or allocated.
-
B.
missionFocus
Indicates that an entity’s primary attention, effort, or resources are directed toward a particular mission, goal, or objective.
-
C.
deploys
Indicates the action of strategically placing or releasing something into operation or use, often in a specific context or location.
-
D.
organizationFocus
Indicates the primary area of activity, mission, or specialization that an organization is oriented toward or concentrated on.
-
E.
focusesOn
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
- 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_69ca832c23e4819095a9f3eea4a21828 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46ee96ac8190809817c403da2889 |
completed | March 31, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69cc455437488190b7506f820daf6e32 |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc46c330bc8190a9b644078881c6ff |
completed | March 31, 2026, 10:12 p.m. |
Created at: March 30, 2026, 6:25 p.m.