Triple

T17842721
Position Surface form Disambiguated ID Type / Status
Subject Kupa River E445572 entity
Predicate mouthLocation P417 FINISHED
Object Sisak 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: Sisak | Statement: [Kupa River, mouthLocation, Sisak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sisak
Context triple: [Kupa River, mouthLocation, Sisak]
  • A. Sisak chosen
    Sisak is a historic Croatian city located at the confluence of the Kupa, Sava, and Odra rivers, known as an important industrial and transport hub.
  • B. Karlovac
    Karlovac is a historic Croatian city strategically located at the confluence of four rivers, known for its star-shaped Renaissance fortress and role as a key military and trading center.
  • C. Koprivnica
    Koprivnica is a city in northern Croatia known as a regional center of the Podravina area, with historical roots dating back to medieval times and a strong tradition in industry and culture.
  • D. Bjelovar
    Bjelovar is a city in central Croatia known as an administrative, cultural, and economic center of the Bjelovar-Bilogora County.
  • E. Slavonski Brod
    Slavonski Brod is a major city in eastern Croatia situated on the border with Bosnia and Herzegovina, known as an important industrial and transport hub on the Sava River.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48ff8730881908cc8e1b572fa0af8 completed April 19, 2026, 8:19 a.m.
Created at: April 10, 2026, 10:16 a.m.