Triple
T11103791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riminesi |
E262575
|
entity |
| Predicate | countryCulture |
P81632
|
FINISHED |
| Object | Italian culture |
—
|
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: Italian culture | Statement: [Riminesi, countryCulture, Italian culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryCulture Context triple: [Riminesi, countryCulture, Italian culture]
-
A.
popularCultureTrait
Indicates that an entity exhibits a characteristic, behavior, or element that is commonly recognized or influential within popular culture.
-
B.
countryOfCult
Indicates that a particular cult, religious group, or worship practice is associated with, originates from, or is primarily practiced in a specific country.
-
C.
culturalType
chosen
Indicates the classification of something according to its cultural category, style, or tradition.
-
D.
culturalCategory
Indicates that one entity classifies or groups another entity according to a particular culture, tradition, or culturally defined type.
-
E.
traditionalCountry
Indicates that a country is characterized by long-established customs, cultural practices, and social norms that have been preserved over time.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a2d33948190ac29d174694a78e5 |
completed | April 9, 2026, 12:23 p.m. |
| PD | Predicate disambiguation | batch_69d7441aa3548190b92dbde57841c135 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:27 p.m.