Triple
T191031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Officier de la Légion d'honneur |
E3720
|
entity |
| Predicate | hasGradeInSameOrder |
P2799
|
FINISHED |
| Object | Chevalier de la 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: Chevalier de la Légion d'honneur | Statement: [Officier de la Légion d'honneur, hasGradeInSameOrder, Chevalier de la Légion d'honneur]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGradeInSameOrder Context triple: [Officier de la Légion d'honneur, hasGradeInSameOrder, Chevalier de la Légion d'honneur]
-
A.
hasGrades
Indicates that an entity possesses or is associated with one or more grade values, typically reflecting evaluations or scores.
-
B.
orderGradeLevel
chosen
Indicates the relative sequencing or ranking of grade levels, specifying which grade comes before or after another.
-
C.
isGradeOf
Indicates that one entity is the grade or evaluation assigned to another entity, such as a student, assignment, or performance.
-
D.
orderHasThreeGrades
Indicates that an order is associated with exactly three distinct grades or levels.
-
E.
hasOrder
Indicates that one entity possesses, is associated with, or is characterized by a specific order, sequence, or arrangement relative to others.
- 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a25964fc5c8190bd3e37daaf695ecf |
completed | Feb. 28, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69a25673ce3c8190b1a3df5b814a0595 |
completed | Feb. 28, 2026, 2:44 a.m. |
Created at: Feb. 28, 2026, 2:41 a.m.