Triple
T34165705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of Saint Catherine |
E876404
|
entity |
| Predicate | highestClassName |
P136302
|
FINISHED |
| Object | Grand Cross (First Class) |
—
|
NE NERFINISHED |
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: Grand Cross (First Class) | Statement: [Order of Saint Catherine, highestClassName, Grand Cross (First Class)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highestClassName Context triple: [Order of Saint Catherine, highestClassName, Grand Cross (First Class)]
-
A.
highestPassName
Indicates the name of the entity that achieved the highest passing result among a set of evaluated entities.
-
B.
isTheHighestClassOf
Indicates that one entity represents the topmost or most advanced level within a hierarchy or classification to which the other entity belongs.
-
C.
highestCategory
Indicates that the related entity is the topmost or most specific category to which another entity is ultimately classified or assigned.
-
D.
topClassOf
Indicates that one class is the most general or highest-level superclass from which another class (or set of classes) ultimately derives.
-
E.
highestLevelLabel
chosen
Indicates the most specific or top-priority label assigned to an entity within a hierarchy or labeling system.
- 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_69f349ac987481908a8e6053f665bc8b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd3a69f1e08190a11aed015bff0858 |
completed | May 8, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69fd39124180819080ca7911d3515d6d |
completed | May 8, 2026, 1:14 a.m. |
Created at: May 1, 2026, 1:54 a.m.