Triple

T20722600
Position Surface form Disambiguated ID Type / Status
Subject Vukovar-Srijem County E509355 entity
Predicate containsCity P294 FINISHED
Object Županja 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: Županja | Statement: [Vukovar-Srijem County, containsCity, Županja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Županja
Context triple: [Vukovar-Srijem County, containsCity, Županja]
  • A. Županja chosen
    Županja is a town in eastern Croatia near the Bosnian border, known for its location on the Sava River and its traditional Slavonian culture.
  • B. Poganja
    Poganja is a minor stream in southwestern Slovenia that serves as one of the tributaries feeding the Dragonja River near the Adriatic coast.
  • C. Suvodanje
    Suvodanje is a village in western Serbia that forms part of the municipality of Osečina.
  • D. Gunjaci
    Gunjaci is a small rural settlement located within the municipality of Osečina in western Serbia.
  • E. Mala Paklenica
    Mala Paklenica is a narrow, scenic limestone canyon in Croatia’s Velebit mountain range, known for its hiking trails, rock climbing routes, and rugged karst landscapes.
  • 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_69e6c1d6bdcc8190ba42c44159a2c0d5 completed April 21, 2026, 12:16 a.m.
Created at: April 16, 2026, 12:27 p.m.