Triple

T13662600
Position Surface form Disambiguated ID Type / Status
Subject Alzette River E327035 entity
Predicate valleyName P650 FINISHED
Object Alzette Valley E569988 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: Alzette Valley | Statement: [Alzette River, valleyName, Alzette Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alzette Valley
Context triple: [Alzette River, valleyName, Alzette Valley]
  • A. Alzette chosen
    The Alzette is a river in Luxembourg and France that flows through Luxembourg City and ultimately joins the Sauer, making it an important waterway in the region.
  • B. Rodange
    Rodange is a town in southwestern Luxembourg known as an important railway junction near the Belgian and French borders.
  • C. Aubenas
    Aubenas is a historic market town in southern France known for its medieval castle and role as a commercial center of the Ardèche region.
  • D. Vosch
    Vosch is a variant form of the name Vos, likely used as a surname or personal name in certain linguistic or regional contexts.
  • E. Livarot
    Livarot is a small town in the Normandy region of northwestern France, historically known for its production of the pungent Livarot cheese.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc620df208190afaccf3ddd10aa60 completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b08d27c8190badc612c26423c0e completed May 3, 2026, 5:51 p.m.
Created at: April 9, 2026, 9:52 p.m.