Triple
T38156452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virgen de la Caridad del Cobre |
E952899
|
entity |
| Predicate | yearDeclaredPatroness |
P190152
|
FINISHED |
| Object | 1916 |
—
|
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: 1916 | Statement: [Virgen de la Caridad del Cobre, yearDeclaredPatroness, 1916]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearDeclaredPatroness Context triple: [Virgen de la Caridad del Cobre, yearDeclaredPatroness, 1916]
-
A.
dateBecamePrincessRoyal
Indicates the specific date on which an individual assumed the title or status of Princess Royal.
-
B.
royalDesignationYear
Indicates the year in which an entity was formally granted or recognized with a royal status or designation.
-
C.
yearGivenToBritishCrown
Indicates the specific year in which authority or control over an entity was formally transferred to the British Crown.
-
D.
becameRoyalMistressInYear
Indicates that an individual assumed the role or status of a royal mistress in the specified year.
-
E.
becameCrownPrincessOn
Indicates the date on which an individual assumed the title and role of crown princess.
- F. None of above. chosen
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_69f76f0a67f4819080c492f61d688fcc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcb089a8f881909aa9e722babd43f7 |
completed | May 7, 2026, 3:32 p.m. |
| PD | Predicate disambiguation | batch_69fc45666c5c8190913bd632ac0e5b84 |
completed | May 7, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69fcb088aac481909db90804faff315f |
completed | May 7, 2026, 3:32 p.m. |
Created at: May 3, 2026, 4:21 p.m.