Triple

T8226566
Position Surface form Disambiguated ID Type / Status
Subject Classis Moesica E192187 entity
Predicate operatedIn P40 FINISHED
Object lower Danube E12683 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: lower Danube | Statement: [Classis Moesica, operatedIn, lower Danube]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: lower Danube
Context triple: [Classis Moesica, operatedIn, lower Danube]
  • A. The Red Danube
    The Red Danube is a 1949 drama film set in post-World War II Vienna that explores Cold War tensions and moral dilemmas surrounding Soviet repatriation policies.
  • B. Draga River
    The Draga River is a mountain river in northern Montenegro that flows through the rugged landscapes of Durmitor National Park, contributing to its dramatic canyons and alpine scenery.
  • C. Alte Donau
    Alte Donau is a former branch of the Danube River in Vienna that now serves as a popular recreational lake for swimming, boating, and waterside leisure.
  • D. Danube chosen
    The Danube is one of Europe's longest and most historically significant rivers, flowing from Germany to the Black Sea and passing through numerous Central and Eastern European countries.
  • E. Tisza
    The Tisza is one of Central Europe's significant rivers, flowing through several countries including 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_69ca82db5b90819085d1ad7c2e27bfcc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb77fc10f48190b7e241c89885a478 completed March 31, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccee140e708190bf07a63fecd08c7f completed April 1, 2026, 10:06 a.m.
Created at: March 30, 2026, 5:45 p.m.