Triple

T12653689
Position Surface form Disambiguated ID Type / Status
Subject Jula E302226 entity
Predicate hasNeighboringContactLanguage P95982 FINISHED
Object French E13984 NE FINISHED

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: [Jula, hasNeighboringContactLanguage, French]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: French
Context triple: [Jula, hasNeighboringContactLanguage, 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. Louis (French)
    Louis is the French given name corresponding to the name Ludwik in other languages.
  • D. FR
    FR is the vehicle registration code for the Freiburg im Breisgau district in the German state of Baden-Württemberg.
  • E. FR
    FR is the Swiss vehicle registration code for the canton of Fribourg.
  • 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: hasNeighboringContactLanguage
Context triple: [Jula, hasNeighboringContactLanguage, French]
  • A. hasNeighboringLanguages
    Indicates that two languages are geographically or regionally adjacent to each other in their areas of use.
  • B. hasContactWithLanguage chosen
    Indicates that an entity has some form of interaction, exposure, or engagement with a particular language.
  • C. usedAsContactLanguageBetween
    Indicates that a language functions as the medium of communication between two or more distinct language communities.
  • D. hasSecondaryLanguageNearby
    Indicates that an entity has at least one secondary language present or used in its immediate vicinity or surrounding context.
  • E. hasPrimaryLanguageNearby
    Indicates that an entity is associated with a primary language that is predominantly used or present in its immediate geographic or contextual vicinity.
  • F. None of above.

Provenance (4 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9617b07ec8190b714f04ae6654060 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6688104d48190939933b93b7e60cc completed May 2, 2026, 9:11 p.m.
PD Predicate disambiguation batch_69d960b78ce8819091f15dd5013e6da5 completed April 10, 2026, 8:42 p.m.
Created at: April 9, 2026, 5:18 p.m.