Triple

T16600824
Position Surface form Disambiguated ID Type / Status
Subject Conseil de la langue française et de la politique linguistique E403324 entity
Predicate namedAfter P63 FINISHED
Object French language E13984 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: French language | Statement: [Conseil de la langue française et de la politique linguistique, namedAfter, French language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: French language
Context triple: [Conseil de la langue française et de la politique linguistique, namedAfter, French language]
  • A. Franzese
    Franzese is an Italian surname borne by various notable individuals in fields such as entertainment and organized crime.
  • B. 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.
  • C. French
    French is a common English-language surname of French origin borne by various notable individuals, including philanthropist Melinda Ann French (Melinda Gates).
  • D. Louis (French)
    Louis is the French given name corresponding to the name Ludwik in other languages.
  • 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35d764574819081366374ca0c9bea completed April 18, 2026, 10:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0075a48c088190b6585e42dcd73705 completed May 10, 2026, 12:10 p.m.
Created at: April 10, 2026, 5:17 a.m.