Triple

T14051193
Position Surface form Disambiguated ID Type / Status
Subject Strassenfest E338094 entity
Predicate name P16 FINISHED
Object Strassenfest E338094 NE 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: Strassenfest | Statement: [Strassenfest, name, Strassenfest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strassenfest
Context triple: [Strassenfest, name, Strassenfest]
  • A. Strassenfest chosen
    Strassenfest is an annual German-themed street festival in Jasper, Indiana, featuring traditional food, music, parades, and cultural celebrations.
  • B. Sommerfest
    Sommerfest is a traditional German-themed summer festival held in Domingos Martins, Brazil, featuring music, dance, food, and cultural celebrations.
  • C. Festen
    Festen is a critically acclaimed 1998 Danish drama film directed by Thomas Vinterberg, known for being the first Dogme 95 film and for its intense portrayal of a family gathering unraveling dark secrets.
  • D. Bad Lippspringe
    Bad Lippspringe is a spa town in North Rhine-Westphalia, Germany, known for its therapeutic springs and health resorts.
  • E. Bad Grönenbach
    Bad Grönenbach is a spa town in the Bavarian Allgäu region of southern Germany, known for its health resorts and picturesque rural surroundings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c8a518081908ad030ba48b7b946 completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc345a4c081908f803cc53b4f8bca completed May 6, 2026, 10:40 p.m.
Created at: April 9, 2026, 10:20 p.m.