Triple

T4132640
Position Surface form Disambiguated ID Type / Status
Subject Bey of Tunis E85074 entity
Predicate laterSecondaryLanguageOfAdministration P54038 FINISHED
Object French LITERAL 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 | Statement: [Bey of Tunis, laterSecondaryLanguageOfAdministration, French]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laterSecondaryLanguageOfAdministration
Context triple: [Bey of Tunis, laterSecondaryLanguageOfAdministration, French]
  • A. hasSecondaryLanguage
    Indicates that an entity possesses or uses a secondary language in addition to its primary language.
  • B. historicallyDominantLanguageOfAdministrationIn
    Indicates that a language has historically been the primary language used for official governance and administrative functions within a given place or political entity.
  • C. primaryLanguageSide2
    Indicates that the second entity in the relationship uses or is associated with the primary language specified.
  • D. additionalOfficialLanguage
    Indicates that an entity has another language, beyond its primary one, that holds official or formally recognized status.
  • E. hasSecondaryLanguageTradition
    Indicates that an entity possesses an additional, non-primary language tradition associated with it, such as in its use, documentation, or cultural context.
  • F. None of above. chosen

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_69aed935ccd881909dc61f81bcdb7a78 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af03a0f3408190adba7a8513bd3d12 completed March 9, 2026, 5:30 p.m.
PD Predicate disambiguation batch_69af01883b6c8190a482ead589a131a5 completed March 9, 2026, 5:21 p.m.
PDg Predicate description generation batch_69af039fb19c8190b20e62a3b3ad25c1 completed March 9, 2026, 5:30 p.m.
Created at: March 9, 2026, 3:42 p.m.