Triple
T6123856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Our Lady Aparecida |
E136546
|
entity |
| Predicate | canonicalCoronationYear |
P68277
|
FINISHED |
| Object | 1904 |
—
|
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: 1904 | Statement: [Our Lady Aparecida, canonicalCoronationYear, 1904]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canonicalCoronationYear Context triple: [Our Lady Aparecida, canonicalCoronationYear, 1904]
-
A.
coronationPeriod
Indicates the time span during which a coronation event takes place or is in effect.
-
B.
royalDesignationYear
Indicates the year in which an entity was formally granted or recognized with a royal status or designation.
-
C.
coronationDate
Indicates the date on which an individual is formally crowned or installed into a royal or equivalent sovereign position.
-
D.
ordinationYear
Indicates the year in which an individual was formally ordained to a religious office or role.
-
E.
crownedAt
Indicates the place or event where an entity formally received a crown or was officially installed as a monarch or titleholder.
- 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.