Triple

T13137913
Position Surface form Disambiguated ID Type / Status
Subject Radau E312130 entity
Predicate mouthLocatedIn P417 FINISHED
Object Oker E79320 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: Oker | Statement: [Radau, mouthLocatedIn, Oker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oker
Context triple: [Radau, mouthLocatedIn, Oker]
  • A. Oker chosen
    The Oker is a river in central Germany that flows northward from the Harz Mountains through Lower Saxony before joining the Aller.
  • B. Ockenga
    Ockenga is a surname most notably associated with Harold Ockenga, a prominent American evangelical leader and theologian.
  • C. Olesko
    Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
  • D. Okeus
    Okeus is a powerful deity in Powhatan religion, often associated with war, retribution, and the enforcement of moral order.
  • E. Okak
    Okak is a dialectal variety of the Fang language spoken by Fang communities in Central Africa.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d981b6a4348190b9922ed255759078 completed April 10, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eae08a148190af391d173f25b714 completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:09 p.m.