Triple

T9957348
Position Surface form Disambiguated ID Type / Status
Subject Naisos E195476 entity
Predicate correspondsToModernAdministrativeUnit P36806 FINISHED
Object City of Niš E230334 NE FINISHED

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: City of Niš | Statement: [Naisos, correspondsToModernAdministrativeUnit, City of Niš]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Niš
Context triple: [Naisos, correspondsToModernAdministrativeUnit, City of Niš]
  • A. City of Niš chosen
    The City of Niš is a major urban center in southeastern Serbia, historically significant as one of the oldest cities in the Balkans and a key crossroads between Central Europe and the Near East.
  • B. Jagodina
    Jagodina is a city in central Serbia known as a regional industrial and cultural center, featuring attractions such as a popular zoo, aqua park, and museums.
  • C. Bajina Bašta
    Bajina Bašta is a small town in western Serbia known for its scenic location on the Drina River and proximity to the Tara National Park.
  • D. Kragujevac
    Kragujevac is a central Serbian city historically significant as an early capital and industrial and cultural hub of the country.
  • E. Nikšić
    Nikšić is one of the largest cities in Montenegro, known as an important industrial, cultural, and educational center of the country.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6cceb608190ad4424afaddcabfa completed April 2, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cb77b51481908af779b8ecacc3f1 completed April 5, 2026, 8:52 p.m.
Created at: March 30, 2026, 8:46 p.m.