Triple
T12691361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Officer's Cross of the Order of Polonia Restituta |
E303210
|
entity |
| Predicate | orderHasFiveClasses |
P4203
|
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: [Officer's Cross of the Order of Polonia Restituta, orderHasFiveClasses, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orderHasFiveClasses Context triple: [Officer's Cross of the Order of Polonia Restituta, orderHasFiveClasses, true]
-
A.
hasFiveClassStructure
chosen
Indicates that an entity is organized into, or conforms to, a structure consisting of five distinct classes.
-
B.
orderHasThreeGrades
Indicates that an order is associated with exactly three distinct grades or levels.
-
C.
orderClass
Indicates that one entity is classified into a particular order or category within a hierarchical or taxonomic system.
-
D.
hasTwoClasses
Indicates that an entity is associated with exactly two distinct classes or categories.
-
E.
hasGradeCount
Indicates a relationship where an entity is associated with the number of grades it has or has received.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d962a32c6481908ddaddae4ea267bf |
completed | April 10, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69d960be63f081908a5ef5ef17a311bf |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:22 p.m.