Triple

T17583271
Position Surface form Disambiguated ID Type / Status
Subject City of Lucerne E428255 entity
Predicate hasLandmark P105 FINISHED
Object Lion Monument 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: Lion Monument | Statement: [City of Lucerne, hasLandmark, Lion Monument]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lion Monument
Context triple: [City of Lucerne, hasLandmark, Lion Monument]
  • A. Lion Monument chosen
    The Lion Monument is a famous rock relief sculpture in Lucerne, Switzerland, commemorating Swiss Guards who were killed during the French Revolution.
  • B. Bayi Monument
    Bayi Monument is a prominent commemorative structure in Nanchang, China, honoring the August 1st (Bayi) Uprising that marked the birth of the People’s Liberation Army.
  • C. Victory Monument
    Victory Monument is a major military memorial and central traffic hub in Bangkok, Thailand, commemorating the country’s victory in the Franco-Thai War.
  • D. Two Lions statue
    The Two Lions statue is a notable public sculpture in Penrith, serving as a recognizable local landmark and meeting point.
  • E. Victor Monument
    The Victor Monument is a prominent World War I victory memorial and symbol of Belgrade, featuring a bronze male figure atop a tall column overlooking the confluence of the Sava and Danube rivers.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463cf556881908d2935b3761f65df completed April 19, 2026, 5:10 a.m.
Created at: April 10, 2026, 5:50 a.m.