Triple

T3556040
Position Surface form Disambiguated ID Type / Status
Subject Sava E75220 entity
Predicate flowsThroughCity P10456 FINISHED
Object Šabac E108876 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: Šabac | Statement: [Sava, flowsThroughCity, Šabac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Šabac
Context triple: [Sava, flowsThroughCity, Šabac]
  • A. Šabac chosen
    Šabac is a historic city in western Serbia on the Sava River, known as a regional cultural and educational center.
  • B. 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.
  • C. Zemun
    Zemun is a historic urban municipality of Belgrade, Serbia, known for its preserved old town, Danube riverfront, and distinctive Central European architectural heritage.
  • D. Kragujevac
    Kragujevac is a central Serbian city historically significant as an early capital and industrial and cultural hub of the country.
  • E. Novi Pazar
    Novi Pazar is a historic city in southwestern Serbia known for its Ottoman-era architecture, multicultural heritage, and proximity to important medieval Serbian monasteries.
  • 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_69ad85d45090819086f34fb85d850a1e completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0569fbc81909b855b6990c1415b completed March 8, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402e41b8c8190b6221725c7a84532 completed March 13, 2026, 12:28 p.m.
Created at: March 8, 2026, 3:20 p.m.