Triple
T35732144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villa Cura Brochero |
E1032784
|
entity |
| Predicate | religiousTitleOfFigure |
P502
|
FINISHED |
| Object | Saint |
—
|
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: Saint | Statement: [Villa Cura Brochero, religiousTitleOfFigure, Saint]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousTitleOfFigure Context triple: [Villa Cura Brochero, religiousTitleOfFigure, Saint]
-
A.
religiousTitle
chosen
Indicates that one entity holds or is referred to by a specific religious rank, honorific, or clerical title in relation to another entity.
-
B.
religiousTitleOfMonarch
Indicates that the object is the formal religious title or role held by the monarch subject.
-
C.
traditionalTitleOfLeader
Indicates the customary or historically recognized title used to refer to a particular leader.
-
D.
ancientTitle
Indicates that an entity holds or is associated with a title or designation originating from ancient times.
-
E.
epithetOrTitle
Indicates that one entity serves as an epithet, honorific, or formal title used to designate or characterize 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_69f76e10e59081908d81ad9ce22f40b6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ffbb1c5bf88190a0bf791213045885 |
completed | May 9, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69ffba0ab0f881908f84ef81f7a1bfe8 |
completed | May 9, 2026, 10:49 p.m. |
Created at: May 3, 2026, 4:05 p.m.