Triple

T17456846
Position Surface form Disambiguated ID Type / Status
Subject Brda wine region E425051 entity
Predicate hasTown P847 FINISHED
Object Dobrovo 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: Dobrovo | Statement: [Brda wine region, hasTown, Dobrovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dobrovo
Context triple: [Brda wine region, hasTown, Dobrovo]
  • A. Dobrovo chosen
    Dobrovo is a small Slovenian village in the Goriška region, known as the cultural and economic hub of the Brda wine-growing area.
  • B. Dobanovci
    Dobanovci is a suburban settlement of Belgrade, Serbia, situated within the Surčin municipality.
  • C. Dušanovac
    Dušanovac is an urban neighborhood of Belgrade, Serbia, known as a residential and commercial area within the municipality of Voždovac.
  • D. Đurđevo
    Đurđevo is a village in the municipality of Žabalj in the Vojvodina region of northern Serbia.
  • E. Boždarevac
    Boždarevac is a village located within the Barajevo municipality in the wider Belgrade region of Serbia.
  • 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e45142b08481908cdd290692d796c3 completed April 19, 2026, 3:51 a.m.
Created at: April 10, 2026, 5:47 a.m.