Triple
T11958490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Open Accelerators |
E284610
|
entity |
| Predicate | typeOfDirectives |
P102486
|
FINISHED |
| Object | pragmas |
—
|
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: pragmas | Statement: [Open Accelerators, typeOfDirectives, pragmas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfDirectives Context triple: [Open Accelerators, typeOfDirectives, pragmas]
-
A.
hasDirective
Indicates that one entity issues, contains, or is governed by a specific directive or instruction associated with another entity.
-
B.
typeOfRules
Indicates that one entity specifies or categorizes the kind or category of rules that apply to or are associated with another entity.
-
C.
typeOfRule
Indicates that one rule is classified as a specific kind or category of another, more general rule.
-
D.
typeOfDeclaration
Indicates the specific kind or category of declaration associated with an entity or event.
-
E.
derivativesType
Indicates the specific kind or category of derivative relationship that exists between two related entities.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903681a00819098c2b5260e2ef834 |
completed | April 10, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3e48e08190b2fee43af4f57323 |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8dd0ba0f88190b7d5e358c27ca184 |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 8, 2026, 9:45 p.m.