Triple

T20959481
Position Surface form Disambiguated ID Type / Status
Subject Kolubara River region E516198 entity
Predicate hasCityNearby P3883 FINISHED
Object Valjevo 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: Valjevo | Statement: [Kolubara River region, hasCityNearby, Valjevo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valjevo
Context triple: [Kolubara River region, hasCityNearby, Valjevo]
  • A. Valjevo chosen
    Valjevo is a historic city in western Serbia known for its role in World War I and its position as a regional cultural and economic center.
  • B. Zrenjanin
    Zrenjanin is a city in northern Serbia known as an economic, cultural, and administrative center of the Banat region.
  • C. Kutjevo
    Kutjevo is a small Croatian town in the Požega-Slavonia region, best known for its long winemaking tradition and surrounding vineyards.
  • D. Vinkovci
    Vinkovci is a historic town in eastern Croatia, recognized as one of the oldest continuously inhabited settlements in Europe and a key urban center of the Slavonia region.
  • E. Barajevo
    Barajevo is a suburban municipality of Belgrade, Serbia, located in the southern part of the city’s administrative area.
  • 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_69e0b4fde6c48190af1398e7e734629e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb6e50988190a564d2aaf1a9bc54 completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:30 p.m.