Triple

T135308
Position Surface form Disambiguated ID Type / Status
Subject Danish language E2734 entity
Predicate influencedBy P9 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: [Danish language, influencedBy, French language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: French language
Context triple: [Danish language, influencedBy, 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. Niçard Occitan
    Niçard Occitan is a Romance variety of the Occitan language traditionally spoken in and around the city of Nice in southeastern France.
  • C. Haitian Creole
    Haitian Creole is a French-based creole language spoken primarily in Haiti and its diaspora, recognized as one of the country's official languages and used in education, media, and religious life.
  • D. Romance languages
    Romance languages are a group of closely related languages, including Spanish, French, Italian, Portuguese, and Romanian, that evolved from Vulgar Latin spoken in the Roman Empire.
  • E. Romandy
    Romandy is the French-speaking western region of Switzerland, encompassing cantons such as Geneva, Vaud, Neuchâtel, and Jura.
  • 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_69a2520c0f3481908b0ed054a2fca8d0 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257a3ad908190b6a8652f09ae0cbb completed Feb. 28, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2aa47e780819083237393f19a0fce completed Feb. 28, 2026, 8:41 a.m.
Created at: Feb. 28, 2026, 2:30 a.m.