Triple

T3439396
Position Surface form Disambiguated ID Type / Status
Subject Cumans E72529 entity
Predicate region 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: [Cumans, region, Lower Danube]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lower Danube
Context triple: [Cumans, region, Lower Danube]
  • A. 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.
  • B. Cerna River
    The Cerna River is a river in southwestern Romania that flows through the historic spa town of Băile Herculane before joining the Danube.
  • C. Maritsa
    Maritsa is a significant river in the Balkans that flows through Bulgaria, Greece, and Turkey before emptying into the Aegean Sea.
  • D. Târnava Mare River
    The Târnava Mare River is a significant river in central Romania that flows through the historical region of Transylvania before joining the Mureș River.
  • E. Körös
    Körös is a river in Central Europe that flows through eastern Hungary and parts of Romania before joining the Tisza River.
  • 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_69ad85af50288190a854b76653deee6f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9f6de1481909b789f4b0e1113d3 completed March 8, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5335e1e348190912455cd90009558 completed March 14, 2026, 10:07 a.m.
Created at: March 8, 2026, 3:16 p.m.