Triple

T16383110
Position Surface form Disambiguated ID Type / Status
Subject Subotica E397856 entity
Predicate hasNameInLanguage P15 FINISHED
Object Subotica (Serbian) E397856 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: Subotica (Serbian) | Statement: [Subotica, hasNameInLanguage, Subotica (Serbian)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Subotica (Serbian)
Context triple: [Subotica, hasNameInLanguage, Subotica (Serbian)]
  • A. Subotiv
    Subotiv is a historic village in central Ukraine, best known as the birthplace and estate of 17th-century Cossack leader Bohdan Khmelnytsky.
  • B. Subotica chosen
    Subotica is a historic city in northern Serbia known for its Art Nouveau architecture and cultural diversity, located near the Hungarian border.
  • C. Sremska Mitrovica
    Sremska Mitrovica is a historic city in northern Serbia, known as the modern successor to the ancient Roman city of Sirmium, once one of the empire’s major administrative centers.
  • D. Zemun
    Zemun is a historic urban municipality of Belgrade, Serbia, known for its preserved old town, Danube riverfront, and distinctive Central European architectural heritage.
  • E. 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.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319ddcef08190a2081855b5cf6762 completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00356b00408190beab51a23011be67 completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:08 a.m.