Triple

T21330745
Position Surface form Disambiguated ID Type / Status
Subject European route E22 E525890 entity
Predicate passesThroughCity P416 FINISHED
Object Rezekne 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: Rezekne | Statement: [European route E22, passesThroughCity, Rezekne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rezekne
Context triple: [European route E22, passesThroughCity, Rezekne]
  • A. Rezekne chosen
    Rezekne is a city in eastern Latvia that serves as a regional transport hub and cultural center in the Latgale region.
  • B. Paldiski
    Paldiski is a coastal town and former Soviet naval base in northwestern Estonia, located on the Pakri Peninsula by the Baltic Sea.
  • C. Revali
    Revali is a skilled and arrogant Rito archer and Champion who pilots the Divine Beast Vah Medoh in The Legend of Zelda: Breath of the Wild.
  • D. Palanga
    Palanga is a popular Lithuanian seaside resort town on the Baltic coast, known for its beaches, pier, and historic botanical park.
  • E. Jelgava
    Jelgava is a city in central Latvia known for its historic Jelgava Palace and role as a regional cultural and educational center.
  • 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7ab5177dc8190b888351e9a45b45f completed April 21, 2026, 4:52 p.m.
Created at: April 16, 2026, 4:42 p.m.