Triple

T8680971
Position Surface form Disambiguated ID Type / Status
Subject Beilstein E206035 entity
Predicate locatedInRiverValley P27424 FINISHED
Object Lahn Valley E80767 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: Lahn Valley | Statement: [Beilstein, locatedInRiverValley, Lahn Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lahn Valley
Context triple: [Beilstein, locatedInRiverValley, Lahn Valley]
  • A. Saale River valley
    The Saale River valley is a scenic river landscape in central Germany characterized by winding waterways, steep slopes, and a mix of forests, vineyards, and historic towns.
  • B. Lahn chosen
    The Lahn is a river in western Germany that flows through the states of North Rhine-Westphalia, Hesse, and Rhineland-Palatinate before joining the Rhine.
  • C. Ach Valley
    Ach Valley is a scenic valley in the Swabian Jura of southern Germany, known for its karst landscapes, caves, and archaeological significance.
  • D. Neiße valley
    The Neiße valley is a scenic river valley along the Lusatian Neisse on the German-Polish border, known for its natural landscapes and historic towns such as Görlitz.
  • E. Isar valley
    The Isar valley is a scenic river valley in Bavaria, Germany, known for its picturesque landscapes, forests, and traditional towns along the Isar River.
  • 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_69ca835379688190aa06b9d98e684d58 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4ae6d19c8190be003f7901c0468d completed March 31, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf287f05748190b41c606eaae5d0b7 completed April 3, 2026, 2:39 a.m.
Created at: March 30, 2026, 6:32 p.m.