Triple
T14734643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commandeur de l’Ordre national du Mérite |
E346171
|
entity |
| Predicate | gradeRankWithinOrder |
P34138
|
FINISHED |
| Object | third grade |
—
|
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: third grade | Statement: [Commandeur de l’Ordre national du Mérite, gradeRankWithinOrder, third grade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gradeRankWithinOrder Context triple: [Commandeur de l’Ordre national du Mérite, gradeRankWithinOrder, third grade]
-
A.
gradeRank
Indicates the relative academic standing or position of an entity within a graded or ranked group based on performance or scores.
-
B.
rankGrade
Indicates the grade or level assigned to an entity within a ranking or evaluation system.
-
C.
gradeWithin
Indicates that one value’s grade or level falls within a specified range or interval relative to another.
-
D.
rankWithinOrganization
chosen
Indicates the relative hierarchical position or level an entity holds within a specific organization.
-
E.
gradeHierarchy
Indicates a hierarchical relationship between grades or levels, where one grade is ranked above or below another in an ordered structure.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec73114cc819088e1101b689fc70b |
completed | April 14, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69de8bf9331481909582045cd567d91f |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:29 a.m.