Triple

T1943949
Position Surface form Disambiguated ID Type / Status
Subject Alexandre E42018 entity
Predicate commonInCulture P7826 FINISHED
Object French-speaking countries 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: French-speaking countries | Statement: [Alexandre, commonInCulture, French-speaking countries]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: commonInCulture
Context triple: [Alexandre, commonInCulture, French-speaking countries]
  • A. usedInCulture chosen
    Indicates that something (such as an object, practice, or concept) is employed, referenced, or plays a role within a particular culture or cultural context.
  • B. culturalVariation
    Indicates that there are differences in practices, beliefs, or expressions between cultures or within a culture across groups, contexts, or time.
  • C. culturalTradition
    Indicates a relationship where certain practices, beliefs, or customs are recognized as part of a shared cultural heritage passed down within a group or society.
  • D. hasCulturalConcept
    Indicates that an entity embodies, includes, or is associated with a particular cultural idea, value, practice, or construct.
  • E. culturallySimilarTo
    Indicates that two entities share comparable cultural characteristics, practices, or values.
  • 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb32ebae881908f7541301f0198ae completed March 7, 2026, 5:10 a.m.
PD Predicate disambiguation batch_69abaff25a588190bb4cbc8df9fc6d64 completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:36 p.m.