Triple
T35255788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greco-Scythian culture |
E1018225
|
entity |
| Predicate | hasLanguageInfluenceFrom |
P23173
|
FINISHED |
| Object | Greek language |
—
|
NE NERFINISHED |
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: Greek language | Statement: [Greco-Scythian culture, hasLanguageInfluenceFrom, Greek language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLanguageInfluenceFrom Context triple: [Greco-Scythian culture, hasLanguageInfluenceFrom, Greek language]
-
A.
languageInfluence
chosen
Indicates that one language has an effect on the development, usage, or characteristics of another language.
-
B.
hasGrammarInfluencedBy
Indicates that the grammatical structure or rules of one language or system are shaped or affected by the grammar of another.
-
C.
influencedLanguage
Indicates that one language has had an effect on the development, structure, or usage of another language.
-
D.
introducedLanguageInfluenceTo
Indicates that one entity initiated or brought a particular linguistic influence or feature into another entity or context.
-
E.
shareLanguageInfluence
Indicates that two entities affect or shape each other’s language use, development, or characteristics through mutual or shared influence.
- 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_69f76de407d081909dfc3c419817ae93 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff7c96e6dc8190b89554480ebcea39 |
completed | May 9, 2026, 6:27 p.m. |
| PD | Predicate disambiguation | batch_69ff7c2381748190ad9a2176e0e478cd |
completed | May 9, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:02 p.m.