Triple

T3210159
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Serbia E67258 entity
Predicate majorCity P316 FINISHED
Object Niš E103811 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: Niš | Statement: [Kingdom of Serbia, majorCity, Niš]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niš
Context triple: [Kingdom of Serbia, majorCity, Niš]
  • A. Niš chosen
    Niš is one of the largest and oldest cities in Serbia, known as a key cultural, economic, and transportation hub in the southern part of the country.
  • B. Nikšić
    Nikšić is one of the largest cities in Montenegro, known as an important industrial, cultural, and educational center of the country.
  • C. Viminacium
    Viminacium was a major Roman city and military camp on the Danube, located in the province of Moesia (in present-day Serbia), known for its strategic importance and extensive archaeological remains.
  • D. Titograd
    Titograd was the name of Montenegro’s capital city during the socialist Yugoslav era, before it was renamed Podgorica in 1992.
  • E. Čukarica
    Čukarica is a municipality of Belgrade known for its mix of urban neighborhoods, industrial zones, and green areas along the Sava River.
  • 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_69ad858ac36c81909962589cd277d6e2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaab701c48190b91404ab416f7ce3 completed March 8, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3b7e5c48190a8fc84ae78d4bd66 completed March 12, 2026, 5:11 p.m.
Created at: March 8, 2026, 3:07 p.m.