Triple
T29684070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosa de Santa María |
E751035
|
entity |
| Predicate | isCanonizedBy |
P54357
|
FINISHED |
| Object | Catholic Church |
—
|
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: Catholic Church | Statement: [Rosa de Santa María, isCanonizedBy, Catholic Church]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCanonizedBy Context triple: [Rosa de Santa María, isCanonizedBy, Catholic Church]
-
A.
isCanonicalFormOf
Indicates that one entity is the standard or officially accepted form or representation of another, often more variant, entity.
-
B.
isCanonical
Indicates that something represents the standard, authoritative, or officially accepted form within a given context or system.
-
C.
isCanonicalWithRespectTo
Indicates that something conforms to, or is expressed in, a standard or authoritative form relative to a specified framework, reference, or set of rules.
-
D.
hasCanonization
chosen
Indicates that an entity has undergone or been granted formal canonization, typically recognizing it as officially sainted or sanctified.
-
E.
hasPartInCanonization
Indicates that an entity participated in or contributed to the process of canonization of 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_69f0d625b09481909b0b69aea1e846c8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f6728e59f881909bcc0068f136ab11 |
completed | May 2, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69f6659f246081909821c5f452d14e8f |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 7:12 p.m.