Triple
T6218162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fontana del Nettuno (Piazza Navona) |
E139042
|
entity |
| Predicate | completionOfSculptures |
P68961
|
FINISHED |
| Object | 1878 |
—
|
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: 1878 | Statement: [Fontana del Nettuno (Piazza Navona), completionOfSculptures, 1878]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: completionOfSculptures Context triple: [Fontana del Nettuno (Piazza Navona), completionOfSculptures, 1878]
-
A.
numberOfSculptures
Indicates the quantity of sculptures associated with a given entity or context.
-
B.
notableSculpture
Indicates that an entity is a sculpture for which the subject is especially known or recognized.
-
C.
featuresSculptureOf
Indicates that one entity includes or displays a sculpture that depicts or represents another entity.
-
D.
artStyleOfEnclosingSculpture
Indicates that one entity specifies the artistic style or aesthetic category of a surrounding or enclosing sculpture associated with another entity.
-
E.
numberOfPaintedSculptures
Indicates the quantity of sculptures that have been painted in a given context or collection.
- 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_69c008aecb0c81909984b48f733ce8ae |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062a481908190a1418d9fcfaf8137 |
completed | March 22, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69c055fdea3c81908f5d910f0d36234a |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c056c965ac8190b938502fa8c74e1b |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:21 p.m.