Triple
T1859841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G.O.L.H. |
E41789
|
entity |
| Predicate | gradePositionInOrder |
P2799
|
FINISHED |
| Object | second highest grade of the Légion d'honneur |
—
|
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: second highest grade of the Légion d'honneur | Statement: [G.O.L.H., gradePositionInOrder, second highest grade of the Légion d'honneur]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gradePositionInOrder Context triple: [G.O.L.H., gradePositionInOrder, second highest grade of the Légion d'honneur]
-
A.
gradeRank
Indicates the relative academic standing or position of an entity within a graded or ranked group based on performance or scores.
-
B.
gradeNumber
Indicates the numerical grade or level assigned to an entity within an ordered grading or classification system.
-
C.
orderGradeLevel
chosen
Indicates the relative sequencing or ranking of grade levels, specifying which grade comes before or after another.
-
D.
rankGrade
Indicates the grade or level assigned to an entity within a ranking or evaluation system.
-
E.
hasGradeWithinOrder
Indicates that one entity’s grade or rank falls within a specified ordered range or position relative to another entity.
- 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_69a8864a83848190a4ec02721306c511 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb231de14819091da3a20ed03c430 |
completed | March 7, 2026, 5:05 a.m. |
| PD | Predicate disambiguation | batch_69abafde4598819099d8229128348fd3 |
completed | March 7, 2026, 4:55 a.m. |
Created at: March 4, 2026, 7:33 p.m.