Triple
T12955248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Active Component |
E309993
|
entity |
| Predicate | hasDeploymentPattern |
P8151
|
FINISHED |
| Object | subject to worldwide 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: subject to worldwide deployment | Statement: [Active Component, hasDeploymentPattern, subject to worldwide deployment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDeploymentPattern Context triple: [Active Component, hasDeploymentPattern, subject to worldwide deployment]
-
A.
hasDeployment
Indicates that an entity is associated with or utilizes a specific deployment instance (e.g., of software, a model, or a system) in an operational context.
-
B.
canBeDeployedUnder
Indicates that one entity is permitted or suitable to be deployed or operated under the conditions, context, or authority defined by another entity.
-
C.
hasUsePattern
Indicates a characteristic or recurring way in which something is typically used or applied.
-
D.
hasPattern
chosen
Indicates that one entity exhibits, follows, or is characterized by a specific recurring form, structure, or design defined by another entity.
-
E.
hasBuildingPattern
Indicates that an entity exhibits or follows a particular architectural or structural building pattern.
- F. None of above.
Provenance (3 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97dba57988190b786ffed55687a72 |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:44 p.m.