Triple
T1148978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mission San Antonio de Padua |
E23630
|
entity |
| Predicate | restoredInCentury |
P11509
|
FINISHED |
| Object | 20th century |
—
|
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: 20th century | Statement: [Mission San Antonio de Padua, restoredInCentury, 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: restoredInCentury Context triple: [Mission San Antonio de Padua, restoredInCentury, 20th century]
-
A.
rebuiltInCentury
chosen
Indicates that an existing structure or entity was reconstructed or significantly rebuilt during a specified century.
-
B.
originalCentury
Indicates the century in which something was originally created, produced, or came into existence.
-
C.
compiledInCentury
Indicates that something (such as a work, text, or document) was compiled during a specified century.
-
D.
usedInCentury
Indicates that something (such as an object, practice, or concept) was in use during a specified century.
-
E.
discoveredInCentury
Indicates that an entity was discovered during a specific century.
- 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_69a493f0d32c8190ac74bad3c87f2641 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bd0bed00819091d71983d787a030 |
completed | March 1, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4ee3988190ac89c5ae5b10e316 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.