Triple

T27040509
Position Surface form Disambiguated ID Type / Status
Subject Flora Drew E684471 entity
Predicate primaryLanguageOfTranslation P198595 FINISHED
Object English 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: English | Statement: [Flora Drew, primaryLanguageOfTranslation, English]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryLanguageOfTranslation
Context triple: [Flora Drew, primaryLanguageOfTranslation, English]
  • A. primaryLanguageOf
    Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
  • B. primaryLanguageType
    Indicates the main category or kind of language (such as spoken, written, or signed) that serves as the primary mode of communication in a given context or for a given entity.
  • C. primaryLanguageIn
    Indicates that a specified language is the main or official language used within a particular place, organization, or context.
  • D. primaryLanguageSide1
    Indicates that the specified language is the main or dominant language associated with the first participant or side in a relationship.
  • E. primaryLanguageImplied
    Indicates that an entity’s primary language is inferred or assumed rather than explicitly stated or directly observed.
  • 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_69ef148193c48190bb1a0cfae6a407c4 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69fef5cf8da881908260ec633830375d completed May 9, 2026, 8:52 a.m.
PD Predicate disambiguation batch_69fef455e40481909861c82007b79bc0 completed May 9, 2026, 8:46 a.m.
PDg Predicate description generation batch_69fef5cec8208190b85665ab6a511a08 completed May 9, 2026, 8:52 a.m.
Created at: April 27, 2026, 8:04 a.m.