Triple

T2577111
Position Surface form Disambiguated ID Type / Status
Subject Einheitsfeier E57002 entity
Predicate hasRecurrence P16303 FINISHED
Object annual 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: annual | Statement: [Einheitsfeier, hasRecurrence, annual]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRecurrence
Context triple: [Einheitsfeier, hasRecurrence, annual]
  • A. hasRecurringElement
    Indicates that an entity includes an element that appears repeatedly or occurs multiple times within it.
  • B. recurringEvent chosen
    Indicates that an event occurs repeatedly over time according to some regular pattern or schedule.
  • C. recurrence
    Indicates that an event, condition, or state happens again or repeatedly over time, often after a period of absence or resolution.
  • D. satisfiesRecurrence
    Indicates that one entity fulfills or conforms to a specified recurrence relation defined by another entity.
  • E. tienePeriodicidad
    Indicates that something occurs, recurs, or is scheduled with a specific regular frequency or periodic pattern.
  • 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_69ab4a4dca6481908c301f8e317396e7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3a73a508190bf12e889a5d4bbf3 completed March 7, 2026, 7:28 a.m.
PD Predicate disambiguation batch_69abd0cfeae08190aed03866ba071c5c completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:49 p.m.