Triple
T5012355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salzburg Cathedral |
E112653
|
entity |
| Predicate | baptismDateOfWolfgangAmadeusMozart |
P497
|
FINISHED |
| Object | 28 January 1756 |
—
|
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: 28 January 1756 | Statement: [Salzburg Cathedral, baptismDateOfWolfgangAmadeusMozart, 28 January 1756]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: baptismDateOfWolfgangAmadeusMozart Context triple: [Salzburg Cathedral, baptismDateOfWolfgangAmadeusMozart, 28 January 1756]
-
A.
baptismDate
chosen
Indicates the date on which an entity underwent or received the rite of baptism.
-
B.
dateOfRoyalBaptism
Indicates the date on which a royal individual underwent their official baptism ceremony.
-
C.
creatorBirthDate
Indicates the date on which the creator of an entity was born.
-
D.
baptized
Indicates that one entity performed or underwent the religious rite of baptism in relation to another entity or context.
-
E.
baptismName
Indicates the name an individual receives or uses specifically in the context of a baptism ceremony.
- 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_69bd4434acb8819086679dbeccc2fe54 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd730f12a481908a27c15dc73987c6 |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd714cbc448190aa53a8a83d768b64 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:35 p.m.