Triple

T7392536
Position Surface form Disambiguated ID Type / Status
Subject Rüsselsheim am Main E170536 entity
Predicate locatedOn P40 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: [Rüsselsheim am Main, locatedOn, Main River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Main River
Context triple: [Rüsselsheim am Main, locatedOn, 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. Kako River
    The Kako River is a river in Japan whose name was used for the Imperial Japanese Navy cruiser Kako.
  • C. Sure river
    The Sure river is a Swiss watercourse that drains Lake Sempach and flows through the canton of Lucerne before joining larger river systems.
  • D. Emme River
    The Emme River is a Swiss river flowing through the Emmental region and the Swiss Plateau, known for its picturesque valleys and historical flooding events.
  • E. Current River
    The Current River is a clear, spring-fed river in the Ozarks of southern Missouri and northern Arkansas, popular for canoeing, fishing, and scenic recreation.
  • 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_69c68a5e2c9081909e713ce866e0060a completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f224790c819099ceb7c7ac8d00f6 completed March 27, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81ecf65388190a149efc77aedcd91 completed March 28, 2026, 6:32 p.m.
Created at: March 27, 2026, 3:09 p.m.