Triple
T34165706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of Saint Catherine |
E876404
|
entity |
| Predicate | lowerClassName |
P53373
|
FINISHED |
| Object | Lesser Cross (Second 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: Lesser Cross (Second Class) | Statement: [Order of Saint Catherine, lowerClassName, Lesser Cross (Second Class)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowerClassName Context triple: [Order of Saint Catherine, lowerClassName, Lesser Cross (Second Class)]
-
A.
lowerClassificationAbbreviation
Indicates that one entity is an abbreviated form of the taxonomic name used for a more specific (lower-level) classification of another entity.
-
B.
lowerRegister
Indicates that an entity performs, speaks, or is expressed in a lower vocal or tonal register than another or than a standard reference.
-
C.
lowerCourseName
Indicates that the course’s name is represented in all lowercase characters.
-
D.
lowerField
Indicates that one field or attribute has a lower (e.g., smaller, lesser, or inferior) value or position relative to another field.
-
E.
lowerTierName
chosen
Indicates that one entity is identified as the name or label of a lower or subordinate tier within a hierarchical structure relative to another entity.
- 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_69f70fdedf708190ab68c2d567e086d0 |
completed | May 3, 2026, 9:05 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:54 a.m.