Triple
T9980183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windows Automotive |
E196429
|
entity |
| Predicate | supportsDevelopment |
P83124
|
FINISHED |
| Object | applications written in C++ |
—
|
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: applications written in C++ | Statement: [Windows Automotive, supportsDevelopment, applications written in C++]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsDevelopment Context triple: [Windows Automotive, supportsDevelopment, applications written in C++]
-
A.
supportsDevelopmentLanguage
chosen
Indicates that one entity provides compatibility with, tools for, or the ability to use a particular programming or development language.
-
B.
servesDevelopment
Indicates that one entity performs services or functions that support the development or advancement of another entity.
-
C.
developmentPillar
Indicates that one entity serves as a fundamental pillar or core focus area supporting the development or growth of another entity.
-
D.
supportsProject
Indicates that one entity provides assistance, resources, or endorsement to help another entity’s project succeed.
-
E.
hasDevelopmentStatus
Indicates the current stage or condition of progress or completion that something is in.
- 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_69ca82efbce081908179b4b9c65096eb |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb8b9aca881908a9b5dfd7e0de4ba |
completed | April 2, 2026, 12:30 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9daa808190b413a1b9a1e929e2 |
completed | April 1, 2026, 1:29 p.m. |
Created at: March 30, 2026, 8:49 p.m.