Triple
T14458050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Maria in Domnica |
E358505
|
entity |
| Predicate | navicellaFountainDepicts |
P107618
|
FINISHED |
| Object | stone ship |
—
|
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: stone ship | Statement: [Santa Maria in Domnica, navicellaFountainDepicts, stone ship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: navicellaFountainDepicts Context triple: [Santa Maria in Domnica, navicellaFountainDepicts, stone ship]
-
A.
monumentDepicts
Indicates that a monument visually represents, portrays, or is dedicated to a particular person, event, concept, or object.
-
B.
vesselDepicted
chosen
Indicates that a vessel (such as a ship, boat, or similar watercraft) is shown or represented in the subject entity.
-
C.
iconographyFeature
Indicates a visual element or motif that appears as a distinct feature within a work’s iconography.
-
D.
hasFountain
Indicates that one entity contains, features, or is equipped with a fountain.
-
E.
placeOfDepiction
Indicates the location or setting where the depicted subject is shown as being situated in the representation.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91aabebc819097eb61b2d81c9a91 |
completed | April 14, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69de5c42bd3c81909a62acf30cc24d1e |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:19 a.m.