Triple

T15510506
Position Surface form Disambiguated ID Type / Status
Subject Sisak E368695 entity
Predicate locatedAtConfluenceOf P11842 FINISHED
Object Kupa River E445572 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: Kupa River | Statement: [Sisak, locatedAtConfluenceOf, Kupa River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kupa River
Context triple: [Sisak, locatedAtConfluenceOf, Kupa River]
  • A. Kupa River chosen
    The Kupa River is a central European river flowing through Croatia and Slovenia, known for passing through cities like Karlovac and forming part of the Croatia–Slovenia border.
  • B. Drino River
    The Drino River is a river in southern Albania that flows through Gjirokastër County and is a tributary of the Vjosë River.
  • C. Bega River
    The Bega River is a waterway in southeastern New South Wales, Australia, that flows through the town of Bega before reaching the Tasman Sea.
  • D. Piva River
    The Piva River is a striking turquoise waterway in northwestern Montenegro, renowned for its deep canyon, hydroelectric dam, and scenic role within the Durmitor mountain region.
  • E. Malše River
    The Malše River is a river in Central Europe that flows through Austria and the Czech Republic, joining the Vltava River near the city of České Budějovice.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03fd008708190a3657863eb9ac626 completed April 16, 2026, 1:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0035450810819092796c556dfa8ed3 completed May 10, 2026, 7:35 a.m.
Created at: April 10, 2026, 3:55 a.m.