Triple

T780344
Position Surface form Disambiguated ID Type / Status
Subject Frankfurt am Main E16481 entity
Predicate locatedOnRiver P165 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: [Frankfurt am Main, locatedOnRiver, Main River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Main River
Context triple: [Frankfurt am Main, locatedOnRiver, 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. 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.
  • C. 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.
  • D. Grande River
    The Grande River is a watercourse in Chile’s Limarí Province that contributes to the region’s agricultural irrigation and local watershed.
  • E. Ob River
    The Ob River is one of the major rivers of western Siberia in Russia, flowing northward into the Arctic Ocean and forming part of one of the world's largest river systems.
  • 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a750c6708190a3f2c3abf16b4ea4 completed March 1, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae1f9546fc8190beee0f8b8810fe4b completed March 9, 2026, 1:17 a.m.
Created at: March 1, 2026, 7:37 p.m.