Triple
T21809800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Advanced Génifique Sensitive Dual Concentrate |
E538440
|
entity |
| Predicate | applicationTime |
P145739
|
FINISHED |
| Object | evening |
—
|
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: evening | Statement: [Advanced Génifique Sensitive Dual Concentrate, applicationTime, evening]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: applicationTime Context triple: [Advanced Génifique Sensitive Dual Concentrate, applicationTime, evening]
-
A.
applicationInterface
Indicates that one entity serves as an interface or interaction layer through which another entity accesses or uses an application’s functionality.
-
B.
aplicación
Indicates that one entity is the use or implementation of another entity for a specific purpose or function.
-
C.
exampleApplication
Indicates that something serves as a representative or illustrative instance of how an application is used or functions.
-
D.
applicationPhase
Indicates the specific stage or step an application is currently in within a broader application process.
-
E.
applicationRequirement
Indicates that one entity specifies a condition or prerequisite that must be met for the use, approval, or execution of another entity or process.
- 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07cc4809c8190853e2777a1f573d4 |
completed | April 28, 2026, 9:24 a.m. |
| PD | Predicate disambiguation | batch_69e6be815a108190be81d7c987d0c0d6 |
completed | April 21, 2026, 12:02 a.m. |
| PDg | Predicate description generation | batch_69e6c670ee608190b9cfdc09de74f0de |
completed | April 21, 2026, 12:36 a.m. |
Created at: April 16, 2026, 6:53 p.m.