Triple
T36229618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Officer of the Order of Merit of the Italian Republic |
E891203
|
entity |
| Predicate | hasFiveMainGrades |
P201571
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Grand Officer of the Order of Merit of the Italian Republic, hasFiveMainGrades, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFiveMainGrades Context triple: [Grand Officer of the Order of Merit of the Italian Republic, hasFiveMainGrades, true]
-
A.
hasFiveGradeSystemPosition
Indicates that an entity occupies a specific position or level within a five-grade (five-tier) grading or ranking system.
-
B.
hasGrades
Indicates that an entity possesses or is associated with one or more grade values, typically reflecting evaluations or scores.
-
C.
hasGradeCount
Indicates a relationship where an entity is associated with the number of grades it has or has received.
-
D.
hasGradesOrClasses
Indicates that an entity is associated with academic evaluations or enrolled instructional sessions, such as grades received or classes taken.
-
E.
hasGradeSystem
Indicates that one entity uses, follows, or is governed by a particular grading or evaluation system defined by 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_69f76e4387048190a1b27bcbf4ec7423 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a00053d8004819097ad9cf6431a20a3 |
completed | May 10, 2026, 4:10 a.m. |
| PD | Predicate disambiguation | batch_6a0004b3a82c81908e2bf9a533a93eb6 |
completed | May 10, 2026, 4:08 a.m. |
| PDg | Predicate description generation | batch_6a00053cdcb08190980df73e235e9ad8 |
completed | May 10, 2026, 4:10 a.m. |
Created at: May 3, 2026, 4:09 p.m.