Triple

T21786486
Position Surface form Disambiguated ID Type / Status
Subject Bosna River valley E537850 entity
Predicate containsCity P294 FINISHED
Object Visoko 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: Visoko | Statement: [Bosna River valley, containsCity, Visoko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Visoko
Context triple: [Bosna River valley, containsCity, Visoko]
  • A. Visoko chosen
    Visoko is a historic town in central Bosnia and Herzegovina known for its medieval heritage and the controversial "Bosnian pyramids" archaeological claims.
  • B. Baška
    Baška is a popular coastal town and tourist resort on the island of Krk in Croatia, known for its long pebble beach and historic old town.
  • C. Vršac
    Vršac is a town in northeastern Serbia known for its wine production, historic Vršac Castle, and location near the Romanian border.
  • D. Vreoci
    Vreoci is a suburban settlement in the Lazarevac municipality of Belgrade, Serbia, known for its proximity to major lignite coal mining operations.
  • E. Vinica
    Vinica is a small town and municipality in eastern North Macedonia, known for its historical heritage and proximity to the city of Kočani.
  • 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_69e0c47198f881908cb0d237266c10e9 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0621b5d6881908b74bc999c94fa3d completed April 28, 2026, 7:30 a.m.
Created at: April 16, 2026, 6:52 p.m.