Triple

T8836456
Position Surface form Disambiguated ID Type / Status
Subject Kwéyòl Sent Lisi E210277 entity
Predicate influencedBy P9 FINISHED
Object Standard French E406940 NE 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: Standard French | Statement: [Kwéyòl Sent Lisi, influencedBy, Standard French]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Standard French
Context triple: [Kwéyòl Sent Lisi, influencedBy, Standard French]
  • A. Metropolitan French chosen
    Metropolitan French is the standard variety of the French language as used in mainland France, serving as the primary reference for French grammar, vocabulary, and spelling.
  • B. French
    French is a Romance language that evolved from Latin and is now spoken worldwide as both a native and official language in many countries.
  • C. Quebec French
    Quebec French is a major variety of Canadian French spoken primarily in the province of Quebec, characterized by distinct pronunciation, vocabulary, and expressions that set it apart from European French.
  • D. Middle French
    Middle French is the historical stage of the French language used roughly between the 14th and 17th centuries, marking the transition from Old French to Modern French.
  • E. French Wikiversity
    French Wikiversity is the French-language edition of Wikiversity, a Wikimedia project dedicated to free educational resources and collaborative learning.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6069ad7881909e31010e73e26f91 completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf898022c88190b7274350ce065f00 completed April 3, 2026, 9:33 a.m.
Created at: March 30, 2026, 6:47 p.m.