Triple

T22274868
Position Surface form Disambiguated ID Type / Status
Subject Kettler E550574 entity
Predicate locationFounded P4560 FINISHED
Object Ense-Parsit, 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: Ense-Parsit, Germany | Statement: [Kettler, locationFounded, Ense-Parsit, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ense-Parsit, Germany
Context triple: [Kettler, locationFounded, Ense-Parsit, Germany]
  • A. Ense-Parsit, Germany chosen
    Ense-Parsit is a district of the municipality of Ense in North Rhine-Westphalia, Germany, known for its industrial and commercial facilities.
  • B. Bergheim, Germany
    Bergheim is a town in western Germany’s North Rhine-Westphalia known for its historic center and proximity to the Cologne metropolitan area.
  • C. Schröttinghausen, Germany
    Schröttinghausen is a small locality in Germany best known as the birthplace of influential astronomer Walter Baade.
  • D. Reckendorf, Germany
    Reckendorf, Germany is a small Bavarian village best known as the birthplace of prominent American banker and philanthropist Isaias W. Hellman.
  • E. Achim, Germany
    Achim is a small town in Lower Saxony, northwestern Germany, located near Bremen and known for its residential character and local industry.
  • 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea643d48190985371d01aac7bfc completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.