Triple

T13383621
Position Surface form Disambiguated ID Type / Status
Subject Hahndorf E319379 entity
Predicate culturalEvents P2955 FINISHED
Object German-themed festivals and events 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: German-themed festivals and events | Statement: [Hahndorf, culturalEvents, German-themed festivals and events]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: culturalEvents
Context triple: [Hahndorf, culturalEvents, German-themed festivals and events]
  • A. shareCulturalFestivals
    Indicates that two or more entities participate in or observe the same cultural festivals or celebrations.
  • B. hasCulturalEvent chosen
    Indicates that a cultural event (such as a festival, performance, or exhibition) takes place in, is associated with, or is hosted by a given entity.
  • C. culturalScene
    Indicates a relationship where an entity is associated with, participates in, or characterizes a particular cultural environment, milieu, or set of cultural activities.
  • D. hasCulturalEventLink
    Indicates a relationship where an entity is associated with a link or reference to a related cultural event.
  • E. festivalActivity
    Indicates that an entity is an event, performance, or engagement that takes place as part of a festival’s organized program.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce80158819082156eaeaeda3bd8 completed April 11, 2026, 11:44 p.m.
PD Predicate disambiguation batch_69d9a03189908190a784a2755f8d81e1 completed April 11, 2026, 1:13 a.m.
Created at: April 9, 2026, 9:33 p.m.