Triple

T37779515
Position Surface form Disambiguated ID Type / Status
Subject Austrian Argentines E941787 entity
Predicate sharesCulturalSimilaritiesWith P22474 FINISHED
Object German Argentines 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: German Argentines | Statement: [Austrian Argentines, sharesCulturalSimilaritiesWith, German Argentines]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sharesCulturalSimilaritiesWith
Context triple: [Austrian Argentines, sharesCulturalSimilaritiesWith, German Argentines]
  • A. culturallySimilarTo chosen
    Indicates that two entities share comparable cultural characteristics, practices, or values.
  • B. hasCulturalRelation
    Indicates a relationship in which entities are connected through shared, influencing, or interacting cultural practices, values, traditions, or expressions.
  • C. hasDistinctCultureFrom
    Indicates that the culture of one entity is different and distinguishable from the culture of another entity.
  • D. hasCulturalEquivalent
    Indicates that one entity has a counterpart in another cultural context that plays a similar role, function, or meaning.
  • E. sharesGeographicTiesWith
    Indicates that two entities are connected through a common or related geographic area, such as shared location, region, or territorial association.
  • 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_69f76ee4431881908f87e8892a9f39f3 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_6a00c486d394819084fe93d5bb11ea1e completed May 10, 2026, 5:46 p.m.
PD Predicate disambiguation batch_6a00c39d99d48190a94bfa057213499c completed May 10, 2026, 5:42 p.m.
Created at: May 3, 2026, 4:19 p.m.