Triple

T18281888
Position Surface form Disambiguated ID Type / Status
Subject Мачва E437882 entity
Predicate containsSettlement P847 FINISHED
Object Владимирци 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: Владимирци | Statement: [Мачва, containsSettlement, Владимирци]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Владимирци
Context triple: [Мачва, containsSettlement, Владимирци]
  • A. Vladimirci chosen
    Vladimirci is a small town and municipality in western Serbia, situated in the Mačva region and known for its agricultural surroundings.
  • B. Moskovici
    Moskovici is a variant spelling of the surname Moskovitz, which is of Eastern European Jewish origin.
  • C. Nizhegorodtsy
    Nizhegorodtsy is an opera by Czech-born Russian composer Eduard Nápravník, reflecting Russian historical and national themes.
  • D. Černilov
    Černilov is a municipality and village in the Hradec Králové Region of the Czech Republic, known for its rural character and proximity to the city of Hradec Králové.
  • E. Volosko
    Volosko is a historic coastal village and former fishing port on the Adriatic Sea, now part of the town of Opatija in western Croatia.
  • 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50056ea0481908d66bf263ac80c75 completed April 19, 2026, 4:18 p.m.
Created at: April 10, 2026, 10:35 a.m.