Triple

T1616313
Position Surface form Disambiguated ID Type / Status
Subject Alte Mainbrücke E34725 entity
Predicate crosses P416 FINISHED
Object Main River E113003 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: Main River | Statement: [Alte Mainbrücke, crosses, Main River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Main River
Context triple: [Alte Mainbrücke, crosses, Main River]
  • A. River Main chosen
    The River Main is a major waterway in central Germany that flows through cities such as Frankfurt before joining the Rhine.
  • B. Real River
    Real River is a watercourse in the Brazilian state of Sergipe, known for flowing through the northeastern region of the country and contributing to local ecosystems and communities.
  • C. Long River
    Long River is the English translation of the Chinese name for the Yangtze, Asia’s longest river and a major waterway in China.
  • D. Đuống River
    The Đuống River is a major distributary of the Red River in northern Vietnam that flows through the Hanoi region and plays an important role in local transportation, irrigation, and flood control.
  • E. Grande River
    The Grande River is a watercourse in Chile’s Limarí Province that contributes to the region’s agricultural irrigation and local watershed.
  • 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_69a885ffc5ec819091afa325d5f9611c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9099049e0819099763ecb09fb4f57 completed March 5, 2026, 4:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58ac128881909a2e75524682c1c9 completed March 9, 2026, 5:20 a.m.
Created at: March 4, 2026, 7:28 p.m.