Triple

T6879335
Position Surface form Disambiguated ID Type / Status
Subject Samland Peninsula E158749 entity
Predicate hasResortTown P847 FINISHED
Object Zelenogradsk E552449 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: Zelenogradsk | Statement: [Samland Peninsula, hasResortTown, Zelenogradsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zelenogradsk
Context triple: [Samland Peninsula, hasResortTown, Zelenogradsk]
  • A. Zelenogradsk chosen
    Zelenogradsk is a coastal resort town in Russia’s Kaliningrad Oblast on the Baltic Sea, known for its beaches, historic architecture, and proximity to the Curonian Spit.
  • B. Zelenograd
    Zelenograd is a district of Moscow, Russia, known as a major center for electronics, microelectronics, and high-tech industry, often referred to as Russia’s "Silicon Valley."
  • C. Astapovo
    Astapovo is a small Russian railway station village historically known as the place where the writer Leo Tolstoy died in 1910.
  • D. Elektrostal
    Elektrostal is an industrial city in Russia known for its metallurgical and engineering industries, located east of Moscow.
  • E. Balashov
    Balashov is a town in southwestern Russia that serves as an important local administrative and transportation center within Saratov Oblast.
  • 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_69c68832af1481908ce356e133ebaebe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8e60f94819086315b1dd2ea7a3e completed March 27, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c364d248190a5ce03fd52de91ba completed March 28, 2026, 8:38 p.m.
Created at: March 27, 2026, 2:22 p.m.