Triple
T38273670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santuario Nacional de Cuba |
E1021283
|
entity |
| Predicate | countryPatronage |
P17912
|
FINISHED |
| Object | Our Lady of Charity as patron saint of Cuba |
E282103
|
NE 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: Our Lady of Charity as patron saint of Cuba | Statement: [Santuario Nacional de Cuba, countryPatronage, Our Lady of Charity as patron saint of Cuba]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryPatronage Context triple: [Santuario Nacional de Cuba, countryPatronage, Our Lady of Charity as patron saint of Cuba]
-
A.
patronageArea
Indicates the geographic or administrative area within which a patron (such as a sponsor, supporter, or benefactor) exercises their support, influence, or protective role.
-
B.
countryOfPatronage
chosen
Indicates the country that officially supports, sponsors, or acts as a patron for a given entity or activity.
-
C.
patronCityState
Indicates the city and state associated with a patron, typically representing where the patron resides or is located.
-
D.
cityPatron
Indicates that one entity serves as the patron, protector, or special guardian of a particular city.
-
E.
countryScope
Indicates that something is limited to, applicable within, or defined at the level of a specific country.
- F. None of above.
Provenance (4 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_69f76dee198c8190bf5109421e47a658 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a4193dcf7088190b982723c072b4f5c |
completed | June 28, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:30 p.m.