Triple
T27840187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Platform Independent Model |
E703656
|
entity |
| Predicate | canBeDocumentedWith |
P69655
|
FINISHED |
| Object | structural models |
—
|
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: structural models | Statement: [Platform Independent Model, canBeDocumentedWith, structural models]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeDocumentedWith Context triple: [Platform Independent Model, canBeDocumentedWith, structural models]
-
A.
documentedUsing
Indicates that something is recorded, described, or specified by means of a particular document, tool, or documentation method.
-
B.
hasDocumentationAt
Indicates that something is documented or described in a specific document, file, or location.
-
C.
documentedThrough
chosen
Indicates that something is recorded, evidenced, or made known by means of a specific document or documentation process.
-
D.
isWidelyDocumented
Indicates that extensive and accessible documentation or records exist about the subject across multiple reputable sources.
-
E.
hasLimitedDocumentation
Indicates that the subject is associated with documentation that is sparse, incomplete, or not sufficiently detailed.
- 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_69ef840d9e3c819093615ebff4ec22be |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: April 27, 2026, 6:02 p.m.