Triple

T1055586
Position Surface form Disambiguated ID Type / Status
Subject Walloon language E22793 entity
Predicate hasDistinctVocabularyFrom P12379 FINISHED
Object French language E13984 NE FINISHED

How this triple was built (3 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 language | Statement: [Walloon language, hasDistinctVocabularyFrom, French language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: French language
Context triple: [Walloon language, hasDistinctVocabularyFrom, French language]
  • A. French chosen
    French is a Romance language that evolved from Latin and is now spoken worldwide as both a native and official language in many countries.
  • B. French Canadian
    French Canadians are a North American ethnic group descended primarily from early French settlers in Canada, known for their distinct French language, culture, and strong presence in Quebec.
  • C. Walloon language
    Walloon language is a regional Romance language spoken primarily in southern Belgium, particularly in Wallonia, with its own distinct phonology and vocabulary separate from standard French.
  • D. Belgian French
    Belgian French is the regional variety of the French language spoken in Belgium, characterized by distinctive vocabulary, pronunciation, and some grammatical features influenced by local languages and culture.
  • E. Old French
    Old French was the medieval Romance language spoken in northern France and surrounding regions, which served as the linguistic ancestor of modern French and significantly influenced English after the Norman Conquest.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasDistinctVocabularyFrom
Context triple: [Walloon language, hasDistinctVocabularyFrom, French language]
  • A. hasDistinctVocabulary chosen
    Indicates that one entity’s vocabulary is different or distinguishable from that of another entity.
  • B. hasDistinctGrammar
    Indicates that the subject’s grammar system is different in structure or rules from that of the object.
  • C. hasKnownVocabulary
    Indicates that an entity possesses a defined, identifiable set of terms or words that it can recognize or use.
  • D. isDistinctFrom
    Indicates that two entities are not identical and can be clearly distinguished from one another.
  • E. hasDistinctVowelLetters
    Indicates that the subject contains vowel letters that are all different from one another, with no vowel repeated.
  • F. None of above.

Provenance (4 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_69a493da02e081908c13ff5e02a0fe7a completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8d9102c819090af78cae50f0ff2 completed March 1, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c1b4c3481909ec58291dc9cc32f completed March 7, 2026, 4:02 p.m.
PD Predicate disambiguation batch_69a4b731e25c8190b5ea8466648c2c9a completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:42 p.m.