Triple
T22376676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palazzo di Giustizia (Rome) |
E553167
|
entity |
| Predicate | hasRoofSculpture |
P123870
|
FINISHED |
| Object | bronze quadriga |
—
|
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: bronze quadriga | Statement: [Palazzo di Giustizia (Rome), hasRoofSculpture, bronze quadriga]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoofSculpture Context triple: [Palazzo di Giustizia (Rome), hasRoofSculpture, bronze quadriga]
-
A.
hasRoofShape
Indicates that one entity possesses or is characterized by a specific shape or form of roof.
-
B.
previousRoofStatue
Indicates that one entity served as the earlier or former roof statue relative to another entity.
-
C.
hasIconicRoofShape
Indicates that an entity possesses a roof with a distinctive, widely recognized, or characteristic shape.
-
D.
hasRooftopStructure
chosen
Indicates that one entity possesses or features a structural element located on its roof.
-
E.
featuresSculptureOf
Indicates that one entity includes or displays a sculpture that depicts or represents another entity.
- 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158285d208190bc7d05d315267995 |
completed | April 29, 2026, 1 a.m. |
| PD | Predicate disambiguation | batch_69e73011e6388190a05edf137f488441 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:45 p.m.