Triple
T6123854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Our Lady Aparecida |
E136546
|
entity |
| Predicate | basilicaStatusGrantedYear |
P68276
|
FINISHED |
| Object | 1967 |
—
|
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: 1967 | Statement: [Our Lady Aparecida, basilicaStatusGrantedYear, 1967]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basilicaStatusGrantedYear Context triple: [Our Lady Aparecida, basilicaStatusGrantedYear, 1967]
-
A.
hasBasilicaDedication
Indicates that a basilica is formally dedicated to a particular figure, event, or concept.
-
B.
basilicaStatus
Indicates that an entity holds the official ecclesiastical designation or rank of a basilica within a religious tradition.
-
C.
hasBasilica
Indicates that one entity possesses, contains, or is associated with a basilica as a significant feature or component.
-
D.
hasCathedralStatusSince
Indicates the point in time from which something has held the official status of a cathedral.
-
E.
basilicaStyle
Indicates that something is designed, built, or characterized in the architectural style of a basilica.
- 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_69c0089f851c81909e5e189a617dcff6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05c25976081909e0a40e07dff0b8a |
completed | March 22, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69c049f9ab3c81909c8ab6466f6a2935 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8e3f2c8190be459ca02f9b315a |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:14 p.m.