Triple

T21010266
Position Surface form Disambiguated ID Type / Status
Subject Parc Arthur-Therrien E517527 entity
Predicate borough P300 FINISHED
Object Verdun 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: Verdun | Statement: [Parc Arthur-Therrien, borough, Verdun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Verdun
Context triple: [Parc Arthur-Therrien, borough, Verdun]
  • A. Verdun
    Verdun is a tram stop on the Tramway de Tours network in the city of Tours, France.
  • B. Verdun chosen
    Verdun is a borough of Montreal, Quebec, known for its historic waterfront along the St. Lawrence River and its mix of residential neighborhoods and urban amenities.
  • C. Battle of Verdun
    The Battle of Verdun was one of the longest and bloodiest engagements of World War I, symbolizing the brutal attrition warfare on the Western Front between France and Germany in 1916.
  • D. Verdun, France
    Verdun, France is a historic northeastern French city on the Meuse River, best known as the site of one of World War I’s largest and bloodiest battles.
  • E. Battle of La Bassée
    The Battle of La Bassée was a World War I engagement on the Western Front in 1914, fought between British and German forces in northern France as part of the early "Race to the Sea" operations.
  • 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_69e0b50192308190a284fcc89dd23a49 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc3edc548190987a6c2c9936286a completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:53 p.m.