Triple

T22920137
Position Surface form Disambiguated ID Type / Status
Subject Pirates in Batavia E568837 entity
Predicate locatedIn P40 FINISHED
Object Rust, Germany NE NERFINISHED

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: Rust, Germany | Statement: [Pirates in Batavia, locatedIn, Rust, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rust, Germany
Context triple: [Pirates in Batavia, locatedIn, Rust, Germany]
  • A. Rust, Germany chosen
    Rust is a town in southwestern Germany best known as the home of the major theme park Europa-Park.
  • B. Friedberg, Germany
    Friedberg, Germany is a historic town in the state of Hesse known for its medieval architecture, including a well-preserved castle and old town center.
  • C. Reckendorf, Germany
    Reckendorf, Germany is a small Bavarian village best known as the birthplace of prominent American banker and philanthropist Isaias W. Hellman.
  • D. Achim, Germany
    Achim is a small town in Lower Saxony, northwestern Germany, located near Bremen and known for its residential character and local industry.
  • E. Celle, Germany
    Celle is a historic town in Lower Saxony, Germany, known for its well-preserved half-timbered old town and ducal palace.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458d90c88190a58cead4e781ca6a completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180d40f98819096210c097b47d43b completed April 29, 2026, 3:53 a.m.
Created at: April 17, 2026, 3:42 p.m.