Triple
T29388352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Attribute Protocol |
E745310
|
entity |
| Predicate | usedByHigherLayer |
P180037
|
FINISHED |
| Object | Generic Attribute Profile |
—
|
NE NERFINISHED |
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: Generic Attribute Profile | Statement: [Attribute Protocol, usedByHigherLayer, Generic Attribute Profile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedByHigherLayer Context triple: [Attribute Protocol, usedByHigherLayer, Generic Attribute Profile]
-
A.
hasLowerLevelUse
Indicates that one entity is used or applied at a more detailed, specific, or subordinate level within the context of another entity’s use.
-
B.
usedByFor
Indicates that one entity makes use of another entity for a specific purpose or function.
-
C.
usedByServer
Indicates that something (such as a resource, component, or configuration) is utilized or relied upon by a server in its operation.
-
D.
lowerLevelUsedFor
Indicates that a lower-level component, resource, or abstraction is utilized to implement, support, or realize the functionality of a higher-level one.
-
E.
usedByServiceTo
Indicates that something (such as a resource, component, or feature) is utilized or consumed by a particular service to perform its functions.
- 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_69f0a79dfabc81908755382ee47791e2 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
| PDg | Predicate description generation | batch_69f730890a008190a882f7828f1c9162 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 28, 2026, 2:40 p.m.