Triple
T7938599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foreman |
E184338
|
entity |
| Predicate | supportsProvisioningMethod |
P79900
|
FINISHED |
| Object | kickstart |
—
|
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: kickstart | Statement: [Foreman, supportsProvisioningMethod, kickstart]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsProvisioningMethod Context triple: [Foreman, supportsProvisioningMethod, kickstart]
-
A.
supportsSignInMethod
Indicates that one entity enables or allows another entity to use a particular sign-in or authentication method.
-
B.
supportsDeviceManagement
Indicates that one entity provides capabilities or functionality to manage, configure, or control another entity’s devices.
-
C.
hasProvisionOn
Indicates that one entity contains, specifies, or includes a particular provision, clause, or stipulation concerning another entity or subject.
-
D.
supportsConditionalAccess
Indicates that one entity enables or is compatible with applying conditional access controls or policies to another entity or interaction.
-
E.
supportsAllocationMethods
Indicates that one entity enables, is compatible with, or provides mechanisms for using specific allocation methods associated with another entity.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3af0a2048190838d1aeda59fda0b |
completed | March 31, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69cae93526d081909303265bf60419fd |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7882b048190baa333af9f698590 |
completed | March 30, 2026, 10:22 p.m. |
Created at: March 30, 2026, 5:08 p.m.