Triple
T27583788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OCL |
E699641
|
entity |
| Predicate | typicalToolSupport |
P29151
|
FINISHED |
| Object | UML modeling tools |
—
|
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: UML modeling tools | Statement: [OCL, typicalToolSupport, UML modeling tools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalToolSupport Context triple: [OCL, typicalToolSupport, UML modeling tools]
-
A.
typicalTools
chosen
Indicates that the related tools are commonly or characteristically used to perform the associated activity, task, or function.
-
B.
providesSupportTo
Indicates that one entity offers help, resources, or reinforcement to another entity to aid its function, stability, or success.
-
C.
officialToolFor
Indicates that one entity is formally designated or authorized as the standard or primary tool to be used for another entity or purpose.
-
D.
usesToolType
Indicates that an entity performs an action or fulfills a role by employing a specific type or category of tool.
-
E.
toolType
Indicates the specific kind or category of tool associated with 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_69ef6a4cb8b881909b3a8d630fd89df2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69ffdd05d1908190957deb11392f4595 |
completed | May 10, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69ffdc0d33c881908b3483bee8a96540 |
completed | May 10, 2026, 1:14 a.m. |
Created at: April 27, 2026, 2:03 p.m.