Triple
T29776308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villa di Pratolino |
E755387
|
entity |
| Predicate | sculptureOnSite |
P23770
|
FINISHED |
| Object | Colossus of the Apennines |
—
|
NE NERFINISHED |
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: Colossus of the Apennines | Statement: [Villa di Pratolino, sculptureOnSite, Colossus of the Apennines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sculptureOnSite Context triple: [Villa di Pratolino, sculptureOnSite, Colossus of the Apennines]
-
A.
isOutdoorSculpture
Indicates that the entity is a sculpture specifically designed, created, or installed for display in an outdoor environment.
-
B.
sculptureParkName
Indicates that a sculpture park has the specified name.
-
C.
featuresSculptureOf
chosen
Indicates that one entity includes or displays a sculpture that depicts or represents another entity.
-
D.
sculpturesNowIn
Indicates that certain sculptures are currently located in or held by a specified place or collection.
-
E.
notableSculpture
Indicates that an entity is a sculpture for which the subject is especially known or recognized.
- 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_69f0ef878574819088c867fd1a5c8b86 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f674a274ac8190bfd0b8c5e021695b |
completed | May 2, 2026, 10:03 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 8:46 p.m.