Triple

T21973243
Position Surface form Disambiguated ID Type / Status
Subject Museum of Yugoslavia E542643 entity
Predicate locatedIn P40 FINISHED
Object Savski venac 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: Savski venac | Statement: [Museum of Yugoslavia, locatedIn, Savski venac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Savski venac
Context triple: [Museum of Yugoslavia, locatedIn, Savski venac]
  • A. Šavnik
    Šavnik is a small mountainous town and municipality in northern Montenegro, known for its rugged landscape and proximity to the Durmitor region.
  • B. Savski Venac chosen
    Savski Venac is a central urban municipality of Belgrade, Serbia, known for its government institutions, major transport hubs, and historic neighborhoods.
  • C. Svratka
    Svratka is a river in the Czech Republic that flows through the city of Brno and is a significant watercourse in the South Moravian region.
  • D. Ravanica
    Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
  • E. Veternica
    Veternica is a river in Serbia that forms part of the Morava river basin.
  • 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_69e0c48070988190909db97667b9a0ac completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1248668ac81909c74b2be62f69fce completed April 28, 2026, 9:20 p.m.
Created at: April 16, 2026, 8:02 p.m.