Triple

T22950099
Position Surface form Disambiguated ID Type / Status
Subject Alzette E569988 entity
Predicate passesNear P416 FINISHED
Object Walferdange 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: Walferdange | Statement: [Alzette, passesNear, Walferdange]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walferdange
Context triple: [Alzette, passesNear, Walferdange]
  • A. Walferdange chosen
    Walferdange is a town and former commune in central Luxembourg, known for its proximity to Luxembourg City and its scenic location along the Alzette River.
  • B. Bertrange
    Bertrange is a commune in northeastern France located in the Moselle department within the Grand Est region.
  • C. Bertrange
    Bertrange is a suburban commune in south-central Luxembourg known for its residential areas, shopping facilities, and proximity to Luxembourg City.
  • D. Rocourt
    Rocourt is a district of Liège in present-day Belgium, historically notable as the site of the 1746 Battle of Rocoux during the War of the Austrian Succession.
  • E. Bettviller
    Bettviller is a small commune in northeastern France, located in the Moselle department within the historical region of Lorraine.
  • 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_69e2459199d08190a8184ee2aa935842 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181a085188190b06ffa227087302d completed April 29, 2026, 3:57 a.m.
Created at: April 17, 2026, 3:46 p.m.