Triple
T32307384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Our Lady of Monterrey |
E825403
|
entity |
| Predicate | isPatronFigureOf |
P45407
|
FINISHED |
| Object | local Catholic community in Monterrey |
—
|
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: local Catholic community in Monterrey | Statement: [Our Lady of Monterrey, isPatronFigureOf, local Catholic community in Monterrey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPatronFigureOf Context triple: [Our Lady of Monterrey, isPatronFigureOf, local Catholic community in Monterrey]
-
A.
patron of
Indicates a supportive relationship in which one entity provides sponsorship, protection, or backing to another, often enabling its activities or development.
-
B.
usedAsPatronOf
Indicates that one entity serves as a patron or sponsor for another, providing support, endorsement, or backing.
-
C.
recognizedAsCoPatronBy
Indicates that an entity is acknowledged or designated as a co-patron by another entity.
-
D.
hasPatronageOver
chosen
Indicates that one entity serves as a patron, sponsor, or protector for another, exercising support, guidance, or authority over it.
-
E.
familyPatronOf
Indicates a relationship where one family acts as a patron, sponsor, or protector providing support or resources to another party.
- 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_69f349115304819084ee91d345b6c8aa |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bd83c5948190b534ba5d731a11ba |
completed | May 3, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:45 a.m.