Triple
T9740090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | REYES architecture |
E236164
|
entity |
| Predicate | pipelineStage |
P75199
|
FINISHED |
| Object | bound and split surfaces |
—
|
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: bound and split surfaces | Statement: [REYES architecture, pipelineStage, bound and split surfaces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pipelineStage Context triple: [REYES architecture, pipelineStage, bound and split surfaces]
-
A.
pipeline
Indicates a sequential process or workflow where the output of one stage is passed as input to the next to achieve a final result.
-
B.
pipelineIncludes
chosen
Indicates that a given pipeline contains or incorporates a specified component, stage, or element as part of its overall structure or process.
-
C.
pipelineDepth
Indicates the number of sequential processing stages or steps that data or tasks pass through in a pipeline.
-
D.
stages
Indicates that one entity organizes, presents, or sets up another entity (such as an event, performance, or situation) to take place or be displayed.
-
E.
scriptStage
Indicates the specific phase or step within a scripted process, workflow, or narrative that an entity is currently in or associated with.
- 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_69ca84d313e88190983ee6ffd0ef60d2 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f29a5bc8190b2b391017405c71e |
completed | April 1, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69cd03cc128c81908b84ef224f858b4e |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:22 p.m.