Triple

T12450459
Position Surface form Disambiguated ID Type / Status
Subject Grand Duchess Charlotte Bridge E297517 entity
Predicate crosses P416 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: [Grand Duchess Charlotte Bridge, crosses, Alzette valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alzette valley
Context triple: [Grand Duchess Charlotte Bridge, crosses, 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. Blegny
    Blegny is a municipality in eastern Belgium known for its historic coal mining heritage and rural character.
  • E. Lantheuil
    Lantheuil is a small commune in the Calvados department of the Normandy region in northwestern France.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d9fa5f0819080ca9f6efa212c59 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f1501448190b0a95d7cd249ca9d completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:56 p.m.