Triple

T23130749
Position Surface form Disambiguated ID Type / Status
Subject Aco Petrović E577158 entity
Predicate placeOfBirth P1 FINISHED
Object Šibenik 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: Šibenik | Statement: [Aco Petrović, placeOfBirth, Šibenik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Šibenik
Context triple: [Aco Petrović, placeOfBirth, Šibenik]
  • A. Šibenik chosen
    Šibenik is a historic coastal city in Croatia known for its medieval architecture and the UNESCO-listed Cathedral of St. James.
  • B. Opatija
    Opatija is a historic seaside resort town on Croatia’s Adriatic coast, known for its elegant Austro-Hungarian architecture, mild climate, and long tradition of tourism.
  • C. Koprivnica
    Koprivnica is a city in northern Croatia known as a regional center of the Podravina area, with historical roots dating back to medieval times and a strong tradition in industry and culture.
  • D. Novi Vinodolski
    Novi Vinodolski is a coastal town and tourist resort on the Adriatic Sea in western Croatia, known for its beaches, maritime heritage, and historic old town.
  • E. Knin
    Knin is a historic town in southern Croatia that served as an important medieval political and military center, often referred to as the "royal city" due to its role as a seat of Croatian kings.
  • 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_69e245f7b0e481909c473ff4e6a54e2c completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e87cd188190b466f7a4c9670e56 completed April 29, 2026, 4:52 a.m.
Created at: April 17, 2026, 4 p.m.