Triple

T500106
Position Surface form Disambiguated ID Type / Status
Subject French Armed Forces E10380 entity
Predicate uses P98 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: [French Armed Forces, uses, French language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: French language
Context triple: [French Armed Forces, uses, 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. 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.
  • C. 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.
  • D. French American
    French Americans are U.S. residents or citizens of French ancestry, including both descendants of early French settlers and more recent immigrants from France.
  • E. MFL
    MFL is a common abbreviation for "Modern Foreign Languages," typically referring to the study of contemporary non-native languages in educational settings.
  • 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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f13096248190a622a58dcf540b00 completed Feb. 28, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a48543f1948190b710628bf53cdf01 completed March 1, 2026, 6:28 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.