Triple

T21092616
Position Surface form Disambiguated ID Type / Status
Subject Belgian Picard E519672 entity
Predicate neighboringStandardLanguage P16383 FINISHED
Object French NE NERFINISHED

How this triple was built (3 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 | Statement: [Belgian Picard, neighboringStandardLanguage, French]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: French
Context triple: [Belgian Picard, neighboringStandardLanguage, French]
  • 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. French
    French is a common English-language surname of French origin borne by various notable individuals, including philanthropist Melinda Ann French (Melinda Gates).
  • C. Franzese
    Franzese is an Italian surname borne by various notable individuals in fields such as entertainment and organized crime.
  • D. Free French
    Free French was the World War II movement led by Charles de Gaulle that continued the fight against Axis powers after France’s 1940 defeat and formed the basis of the postwar French government.
  • E. Louis (French)
    Louis is the French given name corresponding to the name Ludwik in other languages.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: neighboringStandardLanguage
Context triple: [Belgian Picard, neighboringStandardLanguage, French]
  • A. hasNeighboringLanguages chosen
    Indicates that two languages are geographically or regionally adjacent to each other in their areas of use.
  • B. neighboringLanguageFamilies
    Indicates that two language families are geographically adjacent or border each other in their primary regions of use.
  • C. closelyAssociatedLanguage
    Indicates that one language is closely connected to another, such as through frequent co-use, mutual influence, or strong cultural or regional association.
  • D. hasLanguageOfSurroundingCountries
    Indicates that an entity uses or includes the languages commonly spoken in the countries that geographically surround it.
  • E. hasNeighboringLanguageCommunity
    Indicates that one language community is geographically or socially adjacent to another, allowing for direct contact or interaction between them.
  • F. None of above.

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_69e0b507dd9081908fb8bfcbef4c8b46 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e70950a31c8190bde2d7b414c362c7 completed April 21, 2026, 5:21 a.m.
PD Predicate disambiguation batch_69e5dbfcd5e881908f1e4e0d2d237856 completed April 20, 2026, 7:55 a.m.
Created at: April 16, 2026, 2:51 p.m.