Triple

T18459612
Position Surface form Disambiguated ID Type / Status
Subject Ahr Valley Railway E450996 entity
Predicate follows P134 FINISHED
Object Ahr River NE NERFINISHED

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: Ahr River | Statement: [Ahr Valley Railway, follows, Ahr River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ahr River
Context triple: [Ahr Valley Railway, follows, Ahr River]
  • A. Ahr River chosen
    The Ahr River is a tributary of the Rhine in western Germany, known for flowing through the Eifel region and its surrounding wine-growing valleys.
  • B. Aschaff River
    The Aschaff River is a small river in Bavaria, Germany, that flows through the Spessart region before joining the Main River.
  • C. Hase River
    The Hase River is a river in northwestern Germany that flows through Lower Saxony and North Rhine-Westphalia before joining the Ems River.
  • D. Inn River
    The Inn River is a major Alpine river in Central Europe that flows through Switzerland, Austria, and Germany before joining the Danube.
  • E. Würm River
    The Würm River is a small river in Bavaria, Germany, known for flowing north from Lake Starnberg through towns such as Gauting and Starnberg before joining the Amper River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52a7cdb5c8190a399f0e4052f7d1f completed April 19, 2026, 7:18 p.m.
Created at: April 10, 2026, 11:33 a.m.