Triple
T22659171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jasmine |
E559314
|
entity |
| Predicate | testArtifact |
P149094
|
FINISHED |
| Object | spec file |
—
|
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: spec file | Statement: [Jasmine, testArtifact, spec file]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testArtifact Context triple: [Jasmine, testArtifact, spec file]
-
A.
featuresArtifact
Indicates that one entity prominently includes, presents, or showcases another entity as an artifact.
-
B.
testArticulated
Indicates that an articulated mechanism, structure, or component has been examined or evaluated, typically to verify its movement, function, or performance.
-
C.
artifactType
Indicates the specific kind or category of artifact that an entity is classified as.
-
D.
centralArtifact
Indicates that an artifact serves as the primary or focal object within a given context, structure, or collection.
-
E.
featuresArtifactsFrom
Indicates that one entity includes, presents, or showcases artifacts that originate from or are associated with another entity.
- 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1765dc9088190b022ac564a8b5c26 |
completed | April 29, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69ee6294c4c08190b7e4829f4b9af24b |
completed | April 26, 2026, 7:08 p.m. |
| PDg | Predicate description generation | batch_69ee8843d3308190b6e22bb98ae5c3d8 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:07 p.m.