Triple

T19827634
Position Surface form Disambiguated ID Type / Status
Subject Novi Bečej E476368 entity
Predicate hasAlternativeName P39 FINISHED
Object Нови Бечеј 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: Нови Бечеј | Statement: [Novi Bečej, hasAlternativeName, Нови Бечеј]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Нови Бечеј
Context triple: [Novi Bečej, hasAlternativeName, Нови Бечеј]
  • A. Novi Bečej chosen
    Novi Bečej is a town in northern Serbia’s Vojvodina region, known for its location on the Tisa River and its agricultural and cultural significance.
  • B. Baćevac
    Baćevac is a village located within the municipality of Barajevo in the Belgrade District of Serbia.
  • C. Mileševo
    Mileševo is a village in northern Serbia that forms part of the Bečej municipality in the autonomous province of Vojvodina.
  • D. Novi Grad
    Novi Grad is the fictional capital city of the Eastern European nation Sokovia in the Marvel Cinematic Universe.
  • E. Branicevo
    Branicevo is a historical region in the central Balkans, located in present-day eastern Serbia, that served as an important medieval political and cultural 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e656cc0f2c81908137caa4c2087027 completed April 20, 2026, 4:39 p.m.
Created at: April 10, 2026, 1:50 p.m.