Triple

T20725565
Position Surface form Disambiguated ID Type / Status
Subject Brod-Posavina County E509425 entity
Predicate containsCity P294 FINISHED
Object Slavonski Brod 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: Slavonski Brod | Statement: [Brod-Posavina County, containsCity, Slavonski Brod]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Slavonski Brod
Context triple: [Brod-Posavina County, containsCity, Slavonski Brod]
  • A. Slavonski Brod chosen
    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.
  • B. Jastrebarsko
    Jastrebarsko is a small historic town in central Croatia known for its wine-growing region and cultural heritage.
  • C. Bjelovar
    Bjelovar is a city in central Croatia known as an administrative, cultural, and economic center of the Bjelovar-Bilogora County.
  • D. 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.
  • E. Sisak
    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.
  • 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_69e0b4c4cc648190b45fda6e2b20af56 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1e7aabc819084f9e9fd45e877fd completed April 21, 2026, 12:16 a.m.
Created at: April 16, 2026, 12:29 p.m.