Triple
T4047911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Señor Caído de Monserrate |
E84111
|
entity |
| Predicate | isPatronOf |
P45407
|
FINISHED |
| Object | devotees visiting Monserrate Sanctuary |
—
|
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: devotees visiting Monserrate Sanctuary | Statement: [El Señor Caído de Monserrate, isPatronOf, devotees visiting Monserrate Sanctuary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPatronOf Context triple: [El Señor Caído de Monserrate, isPatronOf, devotees visiting Monserrate Sanctuary]
-
A.
hasPatronageOver
chosen
Indicates that one entity serves as a patron, sponsor, or protector for another, exercising support, guidance, or authority over it.
-
B.
patronType
Indicates the classification or category of a patron in relation to a service, institution, or resource.
-
C.
primaryPatron
Indicates that one entity serves as the main or chief supporter, sponsor, or benefactor of another entity.
-
D.
hasNotablePatron
Indicates that an entity is significantly supported, sponsored, or championed by a distinguished or influential patron.
-
E.
patronState
Indicates a relationship where one state acts as a protector, sponsor, or dominant supporter of another state or political 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb81040481909b22e4c445ecae0f |
completed | March 9, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69aef900386481909d04555a9ec9b0e3 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:37 p.m.