Triple

T7778356
Position Surface form Disambiguated ID Type / Status
Subject French Wikipedia E221449 entity
Predicate hasSisterProject P14971 FINISHED
Object French Wiktionary E37903 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 Wiktionary | Statement: [French Wikipedia, hasSisterProject, French Wiktionary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: French Wiktionary
Context triple: [French Wikipedia, hasSisterProject, French Wiktionary]
  • A. French Wikipedia
    French Wikipedia is the French-language edition of the online collaborative encyclopedia Wikipedia, written and maintained by a community of French-speaking volunteers.
  • B. French–Latin dictionaries
    French–Latin dictionaries are bilingual reference works that list and translate words between French and Latin, historically important for scholarship, education, and the study of classical texts.
  • C. 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.
  • D. Wiktionary chosen
    Wiktionary is a collaboratively edited, multilingual online dictionary and lexical resource.
  • E. Atlas linguistique de la France
    Atlas linguistique de la France is a pioneering linguistic atlas that systematically maps the regional dialects and linguistic variation of the French language across France.
  • 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_69ca83ebbef881909ac47f789145fef7 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69caa4d4480481909d3e8a4df1345299 completed March 30, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf59dfe5c8190972eb9db1b3ca043 completed March 30, 2026, 10:13 p.m.
Created at: March 30, 2026, 4:16 p.m.