Triple

T19013957
Position Surface form Disambiguated ID Type / Status
Subject Banski dvori E465297 entity
Predicate location P40 FINISHED
Object Gornji Grad 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: Gornji Grad | Statement: [Banski dvori, location, Gornji Grad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gornji Grad
Context triple: [Banski dvori, location, Gornji Grad]
  • A. Gornji Grad chosen
    Gornji Grad is the historic upper town of Zagreb, known for its medieval streets, landmarks like St. Mark’s Church and the Stone Gate, and its role as the city’s political and cultural center.
  • B. Donji Grad
    Donji Grad is the central, historic downtown district of Zagreb, known for its 19th-century architecture, cultural institutions, and major city squares.
  • C. Stari Grad
    Stari Grad is the historic central municipality of Belgrade, known for its old town architecture, cultural landmarks, and key administrative and commercial areas.
  • D. Stari Grad
    Stari Grad is one of the oldest towns in Croatia, a historic harbor settlement on the island of Hvar known for its ancient Greek-era layout and UNESCO-listed surrounding plain.
  • E. Novi Grad
    Novi Grad is the fictional capital city of the Eastern European nation Sokovia in the Marvel Cinematic Universe.
  • 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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6aac4dc8190ac51f22c13f1b96c completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:02 p.m.