Triple

T18066977
Position Surface form Disambiguated ID Type / Status
Subject Central Croatia E432318 entity
Predicate contains P35 FINISHED
Object Bjelovar area 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: Bjelovar area | Statement: [Central Croatia, contains, Bjelovar area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bjelovar area
Context triple: [Central Croatia, contains, Bjelovar area]
  • A. Bijeljina region
    The Bijeljina region is an area in northeastern Bosnia and Herzegovina known for its agricultural plains and as part of the historical region of Semberija.
  • B. Gorski Kotar region
    The Gorski Kotar region is a mountainous, heavily forested area in western Croatia known for its rugged landscapes, cool climate, and outdoor recreation.
  • C. Bjelovar chosen
    Bjelovar is a city in central Croatia known as an administrative, cultural, and economic center of the Bjelovar-Bilogora County.
  • D. Zagreb region
    The Zagreb region is an area in northwestern Croatia centered on the capital city of Zagreb, known as a cultural, economic, and administrative hub where the Kajkavian dialect of Croatian is traditionally used.
  • E. Moslavina area
    Moslavina area is a historical and geographical region in central Croatia known for its rural landscapes, vineyards, and small towns within Sisak-Moslavina County and neighboring areas.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4cce97ce08190a2f8762ce545e091 completed April 19, 2026, 12:39 p.m.
Created at: April 10, 2026, 10:26 a.m.