Triple
T23774465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galleria dei Prigioni |
E587629
|
entity |
| Predicate | hasPeriodOfWorks |
P153894
|
FINISHED |
| Object | 16th century |
—
|
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: 16th century | Statement: [Galleria dei Prigioni, hasPeriodOfWorks, 16th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPeriodOfWorks Context triple: [Galleria dei Prigioni, hasPeriodOfWorks, 16th century]
-
A.
hasCreatedWorksFor
Indicates that one entity has produced or created works (such as art, documents, or products) on behalf of or for the benefit of another entity.
-
B.
hasCatalogedWorkOn
Indicates that an entity has formally recorded, listed, or documented another entity as a work within a catalog or collection.
-
C.
hasWorksAbout
Indicates that one entity (such as a creator, collection, or source) includes or is associated with works whose subject or focus is another entity.
-
D.
hasMainWorks
Indicates that an entity possesses or is associated with one or more primary or most significant works.
-
E.
hasNotableWorkCollection
Indicates that an entity is associated with a collection of its notable works or creations.
- 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_69e2490d245881909028226a1393d624 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1c468fb948190baa66a4353f0ca71 |
completed | April 29, 2026, 8:42 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
| PDg | Predicate description generation | batch_69f15ed138f88190a8ae555422978908 |
completed | April 29, 2026, 1:28 a.m. |
Created at: April 17, 2026, 7:16 p.m.