Triple

T850874
Position Surface form Disambiguated ID Type / Status
Subject Slovenia E18381 entity
Predicate river P165 FINISHED
Object Soča E109241 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: Soča | Statement: [Slovenia, river, Soča]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soča
Context triple: [Slovenia, river, Soča]
  • A. Soča River chosen
    The Soča River is a strikingly clear, emerald-green river flowing through western Slovenia and northeastern Italy, renowned for its alpine scenery and outdoor sports like kayaking, rafting, and fishing.
  • B. Sava
    Sava is a major river in Central and Southeastern Europe that flows through countries including Slovenia, Croatia, Bosnia and Herzegovina, and Serbia before joining the Danube.
  • C. Dijla
    Dijla is the Kurdish name for the Tigris River, one of the major rivers of Western Asia flowing through Turkey, Syria, and Iraq.
  • D. Istra River
    The Istra River is a waterway in the Moscow region of Russia that flows through the town of Istra before joining the Moskva River.
  • E. Drava
    The Drava is a major Central European river that flows through countries including Italy, Austria, Slovenia, Croatia, and Hungary before joining the Danube.
  • 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_69a4938b04208190b82e1df6b572c548 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac215194819099e6bc1b5df58fb3 completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a826cf14808190a4afc2a7b6c66845 completed March 4, 2026, 12:34 p.m.
Created at: March 1, 2026, 7:38 p.m.