Triple

T21273224
Position Surface form Disambiguated ID Type / Status
Subject Circassia E524320 entity
Predicate majorCityHistorical P17588 FINISHED
Object Anapa 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: Anapa | Statement: [Circassia, majorCityHistorical, Anapa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anapa
Context triple: [Circassia, majorCityHistorical, Anapa]
  • A. Anapa chosen
    Anapa is a resort city on Russia’s Black Sea coast, known for its sandy beaches, mild climate, and popularity as a family vacation destination.
  • B. Adra
    Adra is a small settlement located within Harku Parish in northern Estonia.
  • C. Adra
    Adra is a coastal municipality in the southwestern part of Spain’s Province of Almería, known for its fishing port and agricultural production.
  • D. Anadia
    Anadia is a municipality and town in Portugal known for its wine production and thermal spas, located in the country's Centro Region.
  • E. Salaga
    Salaga is a historic town in northern Ghana that once served as a major hub in the trans-Saharan slave trade.
  • 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_69e0b516293c819089458ea2ec85f85e completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73655717c819092f71ed1920f52b5 completed April 21, 2026, 8:33 a.m.
Created at: April 16, 2026, 4:01 p.m.