Triple

T23490371
Position Surface form Disambiguated ID Type / Status
Subject Takarazuka Revue Company E570652 entity
Predicate trainingDurationAtSchool P107047 FINISHED
Object two years 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: two years | Statement: [Takarazuka Revue Company, trainingDurationAtSchool, two years]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: trainingDurationAtSchool
Context triple: [Takarazuka Revue Company, trainingDurationAtSchool, two years]
  • A. educationStartTime
    Indicates the point in time when an educational activity, program, or enrollment for an entity begins.
  • B. typicalTimeInGrade chosen
    Indicates the usual or expected duration an individual spends at a particular grade, rank, or level before advancing or changing status.
  • C. compulsoryEducationDurationYears
    Indicates the number of years that attending school is legally mandatory.
  • D. typicalAgeAtCompletion
    Indicates the age at which an entity (such as a program, activity, or process) is typically completed.
  • E. educationEndTime
    Indicates the point in time at which an entity’s period of education or study is completed or ends.
  • 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_69e245b0b01481908f636939bedd804c completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a7dba7388190a322ab059bb6522a completed April 29, 2026, 6:40 a.m.
PD Predicate disambiguation batch_69f0620ac3608190b36916261ea50f54 completed April 28, 2026, 7:30 a.m.
Created at: April 17, 2026, 6:04 p.m.