Triple
T5240569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church of the Gesù, Rome |
E118328
|
entity |
| Predicate | ceilingFrescoCompletionYear |
P62333
|
FINISHED |
| Object | 1679 |
—
|
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: 1679 | Statement: [Church of the Gesù, Rome, ceilingFrescoCompletionYear, 1679]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ceilingFrescoCompletionYear Context triple: [Church of the Gesù, Rome, ceilingFrescoCompletionYear, 1679]
-
A.
lastJudgmentPaintingEndDate
Indicates the date on which the creation of a Last Judgment painting was completed.
-
B.
façadeCompletionYear
Indicates the year in which the façade of a structure or building was completed.
-
C.
ceiling
Indicates that one entity is the smallest value that is greater than or equal to another value, typically representing a rounding-up operation.
-
D.
decorationCompletedUnder
Indicates that the completion of a decoration activity occurred under the responsibility, authority, or conditions associated with a specified entity or context.
-
E.
hasFrescoes
Indicates that something contains or is adorned with fresco paintings as part of its structure or decoration.
- 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_69bd4467db0881909b3b0982df32cc8f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b2a52fc8190a22631e1853c74a3 |
completed | March 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69bd77c1397c8190a7fd844d7a396e54 |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd79e9d794819097bb628c603d14af |
completed | March 20, 2026, 4:46 p.m. |
Created at: March 20, 2026, 1:49 p.m.