Triple

T5332444
Position Surface form Disambiguated ID Type / Status
Subject Binz E123340 entity
Predicate hasNearbyLocality P3883 FINISHED
Object Prora E123344 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: Prora | Statement: [Binz, hasNearbyLocality, Prora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prora
Context triple: [Binz, hasNearbyLocality, Prora]
  • A. Prora complex chosen
    The Prora complex is a massive seaside resort on Germany’s Baltic Sea coast, originally built by the Nazis as a “Strength Through Joy” vacation facility and later repurposed for various modern uses.
  • B. MTU Friedrichshafen
    MTU Friedrichshafen is a German company specializing in the development and production of high-performance diesel engines and propulsion systems for industrial, marine, and defense applications.
  • C. Dukenburg
    Dukenburg is a residential district in the southwest of Nijmegen in the Netherlands, known for its post-war urban planning and local railway connectivity.
  • D. Hansa
    Hansa is a historical term for the Hanseatic League, a powerful medieval commercial and defensive confederation of merchant guilds and market towns in Northern Europe.
  • E. Ulstein
    Ulstein is a coastal municipality in western Norway known for its maritime industry and shipbuilding.
  • 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_69bd46477f9081909d242a327d749466 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85aab0308190990626cbc9da3e21 completed March 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18b75c388190955e4e31d71ffedb completed March 21, 2026, 10:16 p.m.
Created at: March 20, 2026, 2 p.m.