Triple
T4796886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Strade Nuove and the system of the Palazzi dei Rolli |
E106732
|
entity |
| Predicate | hasNumberOfPalaces |
P59324
|
FINISHED |
| Object | over 40 palaces |
—
|
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: over 40 palaces | Statement: [Le Strade Nuove and the system of the Palazzi dei Rolli, hasNumberOfPalaces, over 40 palaces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfPalaces Context triple: [Le Strade Nuove and the system of the Palazzi dei Rolli, hasNumberOfPalaces, over 40 palaces]
-
A.
palace
Indicates that an entity is a palace, i.e., a grand official residence typically used by royalty or high-ranking authorities.
-
B.
numberOfPavilions
Indicates the total count of pavilions associated with a given entity or context.
-
C.
hasNumberOfMonuments
Indicates the specific count of monuments associated with or present in a given entity.
-
D.
containsRoyalResidence
Indicates that a location includes or encompasses a residence used by royalty.
-
E.
associatedWithPalace
Indicates a relationship where an entity has a connection, link, or involvement with a palace, such as through location, function, ownership, or affiliation.
- 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_69bd43f591c881909e5a532388b0f3f3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6b40c29c8190adab3503f8ba0145 |
completed | March 20, 2026, 3:44 p.m. |
| PD | Predicate disambiguation | batch_69bd622f88188190a51d52ccfad3d2dd |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd6b3fb598819084a83d2b765a62b0 |
completed | March 20, 2026, 3:43 p.m. |
Created at: March 20, 2026, 1:22 p.m.