Triple
T18016477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faster R-CNN |
E431008
|
entity |
| Predicate | stage2 |
P25127
|
FINISHED |
| Object | Fast R-CNN style detector |
—
|
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: Fast R-CNN style detector | Statement: [Faster R-CNN, stage2, Fast R-CNN style detector]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stage2 Context triple: [Faster R-CNN, stage2, Fast R-CNN style detector]
-
A.
stage2Completed
Indicates that the second stage of a defined multi-stage process or workflow has been successfully completed.
-
B.
secondStage
chosen
Indicates that something functions as the subsequent or follow-up stage in a multi-stage process or sequence.
-
C.
stage4Type
Indicates that one entity is classified as a specific type or subtype within the fourth stage of a defined multi-stage process or system.
-
D.
stageAfter
Indicates that one stage occurs later in sequence or order than another specified stage.
-
E.
stage3Completed
Indicates that the third stage in a defined multi-stage process has been successfully completed.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b9be5d0c819097e006f32d98753a |
completed | April 19, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_69e3f904b8048190add43883cd7cb191 |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:24 a.m.