Triple
T16274200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medal of Liberty 2nd Class |
E395081
|
entity |
| Predicate | gradeDesignation |
P7842
|
FINISHED |
| Object | 2nd Class |
—
|
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: 2nd Class | Statement: [Medal of Liberty 2nd Class, gradeDesignation, 2nd Class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gradeDesignation Context triple: [Medal of Liberty 2nd Class, gradeDesignation, 2nd Class]
-
A.
gradeCategory
Indicates the classification of a grade into a broader category or level (such as letter grade, performance band, or pass/fail group).
-
B.
gradeNumber
chosen
Indicates the numerical grade or level assigned to an entity within an ordered grading or classification system.
-
C.
gradeIn
Indicates that an entity has a particular grade or score within a specified course, assignment, or evaluation context.
-
D.
gradeSeparated
Indicates that two intersecting transportation routes are physically separated by different elevation levels so they do not cross at the same grade.
-
E.
gradingSystem
Indicates the method or criteria by which performance, quality, or achievement is evaluated and assigned a grade or score.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2460c2d948190813b66e539a64a70 |
completed | April 17, 2026, 2:39 p.m. |
| PD | Predicate disambiguation | batch_69e219f68d308190b71c1601303f0628 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:05 a.m.