Triple
T5063968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germany and Austria |
E114097
|
entity |
| Predicate | shareCulturalTies |
P33545
|
FINISHED |
| Object | German-speaking cultural sphere |
—
|
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: German-speaking cultural sphere | Statement: [Germany and Austria, shareCulturalTies, German-speaking cultural sphere]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shareCulturalTies Context triple: [Germany and Austria, shareCulturalTies, German-speaking cultural sphere]
-
A.
hasCulturalRelation
Indicates a relationship in which entities are connected through shared, influencing, or interacting cultural practices, values, traditions, or expressions.
-
B.
sharesTraditionsWith
Indicates that two entities have customs, practices, or cultural traditions in common or mutually observe similar traditional activities.
-
C.
culturalInteraction
Indicates interactions or exchanges between entities that involve cultural practices, values, expressions, or influences.
-
D.
shareCultureWith
chosen
Indicates that two entities mutually participate in, express, or are influenced by the same cultural practices, values, or traditions.
-
E.
sharesCountryWith
Indicates that two entities are located in, originate from, or are otherwise associated with the same country.
- 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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd747756bc8190863c426e6fd6e8f7 |
completed | March 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69bd715622b48190a3e8e49a5ef62b4a |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:38 p.m.