Triple
T9550056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ukraine and Moldova |
E230398
|
entity |
| Predicate | shareLanguageFamilyInfluence |
P85377
|
FINISHED |
| Object | Slavic and Romance |
—
|
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: Slavic and Romance | Statement: [Ukraine and Moldova, shareLanguageFamilyInfluence, Slavic and Romance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shareLanguageFamilyInfluence Context triple: [Ukraine and Moldova, shareLanguageFamilyInfluence, Slavic and Romance]
-
A.
shareLanguageInfluence
Indicates that two entities affect or shape each other’s language use, development, or characteristics through mutual or shared influence.
-
B.
shareLanguageFamilyContext
chosen
Indicates that two entities are associated with languages that belong to the same language family or broader linguistic grouping within a given context.
-
C.
influencedLanguageFamily
Indicates that one language family has had a significant impact on the development, structure, or usage of another language family.
-
D.
languageInfluence
Indicates that one language has an effect on the development, usage, or characteristics of another language.
-
E.
sharesLinguisticFamilyWith
Indicates that two languages belong to the same linguistic family or branch within a language family.
- 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_69ca847d3be8819099c9dad2a7e786f1 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9906bc90819086f105c453e63c83 |
completed | April 1, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69ccd58bd21881908b860e3ee469af13 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:02 p.m.