Triple

T20962941
Position Surface form Disambiguated ID Type / Status
Subject Cathedral Church of Sts. Peter and Paul, Šabac E516293 entity
Predicate region P40 FINISHED
Object Mačva 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: Mačva | Statement: [Cathedral Church of Sts. Peter and Paul, Šabac, region, Mačva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mačva
Context triple: [Cathedral Church of Sts. Peter and Paul, Šabac, region, Mačva]
  • A. Moslavina
    Moslavina is a historical and geographical region in central Croatia known for its rural landscapes, vineyards, and small towns.
  • B. Vranje
    Vranje is a historic city in southern Serbia known for its Ottoman-era architecture, cultural heritage, and role as an administrative and economic center of the region.
  • C. Мачва chosen
    Мачва is a historical and geographical region in northwestern Serbia, situated between the Sava and Drina rivers and known for its fertile plains and agricultural significance.
  • D. Baščaršija
    Baščaršija is Sarajevo’s historic Ottoman-era bazaar and cultural center, known for its narrow cobbled streets, traditional shops, and iconic architecture.
  • E. Bileća
    Bileća is a small town and municipality in southeastern Bosnia and Herzegovina, known for its nearby artificial lake and karst landscape.
  • 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_69e0b4fde6c48190af1398e7e734629e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb710d6c8190a2daacaad3b22683 completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:32 p.m.