Triple
T31779006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giuseppe Ferlini |
E811144
|
entity |
| Predicate | artifactsNowInCollectionOf |
P155900
|
FINISHED |
| Object | Egyptian Museum of Berlin |
—
|
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: Egyptian Museum of Berlin | Statement: [Giuseppe Ferlini, artifactsNowInCollectionOf, Egyptian Museum of Berlin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artifactsNowInCollectionOf Context triple: [Giuseppe Ferlini, artifactsNowInCollectionOf, Egyptian Museum of Berlin]
-
A.
inMuseumCollectionSince
Indicates the date or time from which an item has been part of a museum’s collection.
-
B.
hasArtCollection
Indicates that an entity possesses, maintains, or is associated with a collection of artworks.
-
C.
hasArtworksFrom
Indicates that one entity possesses or includes artworks that originate from or are created by another entity.
-
D.
collectibleIn
Indicates that one entity can be collected or obtained within the context, location, or container defined by another entity.
-
E.
hasCulturalObject
chosen
Indicates that one entity possesses, contains, or is associated with a cultural object (such as an artwork, artifact, or culturally significant item).
- 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_69f348e544a48190ab6e700b05f6438c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:35 p.m.