Triple

T14734872
Position Surface form Disambiguated ID Type / Status
Subject Ahr River E346176 entity
Predicate hasValley P650 FINISHED
Object Ahr Valley E1014282 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: Ahr Valley | Statement: [Ahr River, hasValley, Ahr Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ahr Valley
Context triple: [Ahr River, hasValley, Ahr Valley]
  • A. Ahr valley chosen
    The Ahr valley is a picturesque river valley in western Germany renowned for its steep vineyards, red wine production, and scenic hiking landscapes.
  • B. Ach Valley
    Ach Valley is a scenic valley in the Swabian Jura of southern Germany, known for its karst landscapes, caves, and archaeological significance.
  • C. Aisch Valley
    Aisch Valley is a scenic river valley in Franconia, Germany, known for its traditional carp farming ponds and rural landscapes along the Aisch River.
  • D. Vorna Valley
    Vorna Valley is a residential suburb located in the Midrand area of Johannesburg, South Africa, known for its townhouses, complexes, and proximity to major business hubs.
  • E. Digor Valley
    Digor Valley is a picturesque mountainous valley in the Republic of North Ossetia–Alania in the North Caucasus, known for its traditional Ossetian villages, medieval towers, and dramatic alpine landscapes.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec73114cc819088e1101b689fc70b completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe388792688190b1b6eaa8091733fb completed May 8, 2026, 7:24 p.m.
Created at: April 10, 2026, 1:29 a.m.