Triple
T27733293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | System.IFormatProvider |
E697477
|
entity |
| Predicate | bclComponent |
P163134
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [System.IFormatProvider, bclComponent, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bclComponent Context triple: [System.IFormatProvider, bclComponent, true]
-
A.
component1
Indicates that one entity functions as a constituent or part of another entity within a larger whole.
-
B.
component3
Indicates that one entity is the third component or sub-part within a larger composite structure or system involving another entity.
-
C.
componentElement
Indicates that one entity is a constituent or part of another, larger entity or structure.
-
D.
componentCC
Indicates that one entity is a component or constituent part of another entity within a coordinated or composite construction.
-
E.
componentType
Indicates that one entity specifies or classifies the kind or category of component that another entity represents or uses.
- 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_69ef590c3e288190ad54d2465af8ca4e |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6369e16a08190853fdd8ac05800f6 |
completed | May 2, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69f63188e7408190af8ce8b93d128c63 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6352df6148190bc10772cd40bd7b3 |
completed | May 2, 2026, 5:32 p.m. |
Created at: April 27, 2026, 3:12 p.m.