Triple

T17913818
Position Surface form Disambiguated ID Type / Status
Subject Kiotari E447875 entity
Predicate nearbyPlace P2064 FINISHED
Object Gennadi 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: Gennadi | Statement: [Kiotari, nearbyPlace, Gennadi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gennadi
Context triple: [Kiotari, nearbyPlace, Gennadi]
  • A. Gennadi chosen
    Gennadi is a coastal village on the southern part of the Greek island of Rhodes, known for its long beach and traditional architecture.
  • B. Gennady
    Gennady is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • C. Anatoly
    Anatoly is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • D. Genrikh
    Genrikh is a masculine given name of Russian origin, notably borne by Soviet secret police chief Genrikh Yagoda.
  • E. Leonid
    Leonid is a masculine given name of Slavic origin, notably borne by Soviet leader Leonid Brezhnev.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a30461848190b932a45807329216 completed April 19, 2026, 9:40 a.m.
Created at: April 10, 2026, 10:20 a.m.