Triple
T27321748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germantown, Ohio |
E689517
|
entity |
| Predicate | originalCulturalInfluence |
P112778
|
FINISHED |
| Object | German language |
—
|
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 language | Statement: [Germantown, Ohio, originalCulturalInfluence, German language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalCulturalInfluence Context triple: [Germantown, Ohio, originalCulturalInfluence, German language]
-
A.
originatedInCulturalContext
Indicates that something began, developed, or was created within a particular cultural setting, tradition, or milieu.
-
B.
hasCulturalImpact
Indicates that one entity has influenced, shaped, or significantly affected the culture, values, practices, or artistic expressions of another.
-
C.
hasCulturalRoots
chosen
Indicates that something originates from, is shaped by, or is deeply connected to particular cultural traditions, practices, or heritage.
-
D.
countryInfluenced
Indicates that one country has exerted a significant political, economic, cultural, or military impact on another country.
-
E.
heritageInfluence
Indicates how one entity’s cultural, historical, or ancestral background affects or shapes another entity’s characteristics, behavior, or development.
- 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_69ef355d4cb08190ab032c0a2e7d3753 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69fdd07a34c08190982b8c61c2775cf6 |
completed | May 8, 2026, noon |
| PD | Predicate disambiguation | batch_69fdbd25c7908190b72fca8de7ce503f |
completed | May 8, 2026, 10:38 a.m. |
Created at: April 27, 2026, 11:33 a.m.