Triple
T33437372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GetCapabilities |
E856266
|
entity |
| Predicate | capabilitySectionIncludes |
P84759
|
FINISHED |
| Object | supported operations |
—
|
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: supported operations | Statement: [GetCapabilities, capabilitySectionIncludes, supported operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capabilitySectionIncludes Context triple: [GetCapabilities, capabilitySectionIncludes, supported operations]
-
A.
capabilityType
Indicates the type or category of capability that an entity possesses or is associated with.
-
B.
demonstratedCapability
Indicates that an entity has shown, through evidence or performance, the ability to carry out a specific action or function.
-
C.
associatedCapability
Indicates that one entity has a related ability, function, or competence that is linked to or relevant for another entity.
-
D.
featuresAbility
chosen
Indicates that one entity possesses, includes, or provides a particular ability or capability associated with another entity.
-
E.
consideredCapability
Indicates that something is regarded or evaluated as a potential capability of an entity.
- 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_69f349709e7881908c342b4d34f555f4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e48699808190895ab15eeb97afa6 |
completed | May 3, 2026, 6 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:36 a.m.