Triple

T2029071
Position Surface form Disambiguated ID Type / Status
Subject St Omer E44474 entity
Predicate historicalRegion P915 FINISHED
Object Artois E35534 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: Artois | Statement: [St Omer, historicalRegion, Artois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Artois
Context triple: [St Omer, historicalRegion, Artois]
  • A. Touraine
    Touraine is a historic region in central France, famed for its Loire Valley châteaux, wine production, and role as a former royal heartland.
  • B. County of Artois chosen
    The County of Artois was a historic province in northern France, centered on the city of Arras, that played a significant role in medieval and early modern European conflicts and politics.
  • C. Picardy
    Picardy is a historical region in northern France known for its strategic location, rich medieval heritage, and significant role in European conflicts.
  • D. Pas-de-Calais
    Pas-de-Calais is a department in northern France, bordering the English Channel and known for its historic ports, World War battlefields, and the Channel Tunnel connection to the United Kingdom.
  • E. Seine-et-Oise
    Seine-et-Oise was a former department of France surrounding Paris, abolished in 1968 and divided into several new departments including Yvelines.
  • 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_69a889144f2481909932f0746a93023d completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9136f888190b0fd03530e9eda1e completed March 7, 2026, 5:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6ae88ad08190a0a638cad2566f2e completed March 9, 2026, 6:38 a.m.
Created at: March 4, 2026, 7:38 p.m.