Triple

T7978079
Position Surface form Disambiguated ID Type / Status
Subject Dyje–Svratka Valley E185496 entity
Predicate traversedBy P225 FINISHED
Object Dyje River E445476 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: Dyje River | Statement: [Dyje–Svratka Valley, traversedBy, Dyje River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dyje River
Context triple: [Dyje–Svratka Valley, traversedBy, Dyje River]
  • A. Dyje chosen
    The Dyje is a major river in Central Europe that flows through the Czech Republic and Austria, forming part of their border and contributing significantly to the Morava River basin.
  • B. Qu River
    The Qu River is a tributary waterway in southwestern China that feeds into the larger Jialing River system.
  • C. La Doua
    La Doua is a major university and research campus area in the Lyon metropolitan region, known for hosting several science and engineering institutions.
  • D. Rhône River
    The Rhône River is a major European waterway that flows from the Swiss Alps through Lake Geneva into southeastern France, ultimately emptying into the Mediterranean Sea.
  • E. Rhône
    Rhône is a department in eastern France named after the Rhône River, known for its capital city Lyon and its significant role in the country's economic and cultural life.
  • 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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bf84b1081908e60a556d984aad6 completed March 31, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbe086fc08190b41a2eb2193f6675 completed April 1, 2026, 6:41 a.m.
Created at: March 30, 2026, 5:14 p.m.