Triple

T17027322
Position Surface form Disambiguated ID Type / Status
Subject Bečej municipality E413099 entity
Predicate administrativeCenter P1474 FINISHED
Object Bečej 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: Bečej | Statement: [Bečej municipality, administrativeCenter, Bečej]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bečej
Context triple: [Bečej municipality, administrativeCenter, Bečej]
  • A. Bečej chosen
    Bečej is a town and municipality in northern Serbia, situated in the autonomous province of Vojvodina.
  • B. Břeclav
    Břeclav is a town in the South Moravian Region of the Czech Republic, known as a local transport hub and gateway to the Lednice–Valtice cultural landscape near the Austrian and Slovak borders.
  • C. Znojmo
    Znojmo is a historic town in the South Moravian Region of the Czech Republic, known for its medieval architecture, wine production, and strategic position near the Austrian border.
  • D. Bražec
    Bražec is a small village and administrative part of the town of Náchod in the Hradec Králové Region of the Czech Republic.
  • E. Bubeneč
    Bubeneč is a residential and diplomatic district in Prague known for its embassies, green spaces, and proximity to Stromovka park.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d5d5ed388190871aa738cac04b65 completed April 18, 2026, 7:04 p.m.
Created at: April 10, 2026, 5:33 a.m.