Triple

T2519291
Position Surface form Disambiguated ID Type / Status
Subject Union of Arras E55483 entity
Predicate participant P858 FINISHED
Object City of Douai E86459 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: City of Douai | Statement: [Union of Arras, participant, City of Douai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Douai
Context triple: [Union of Arras, participant, City of Douai]
  • A. Houilles
    Houilles is a suburban commune in north-central France, located in the western outskirts of Paris within the Yvelines department.
  • B. Count of Saint-Leu
    The Count of Saint-Leu was a noble title held by Louis Bonaparte, former King of Holland and younger brother of Napoleon Bonaparte.
  • C. Valenciennes
    Valenciennes is a historic industrial city in northern France near the Belgian border, known for its former coal and steel industries and its rich artistic and architectural heritage.
  • D. Count of Rouen
    The Count of Rouen was the early medieval noble title held by Rollo as ruler of the region around Rouen, a precursor to his later role as the first Duke of Normandy.
  • E. Douai chosen
    Douai is a historic town in northern France known for its medieval belfry, former importance as a university and legal center, and role in the shifting Franco-Flemish borderlands.
  • 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_69ab49e4749c8190813311efd1630f1b completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd232ae188190b7b70806b466ee99 completed March 7, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2ba2adc081908a0c7ff24db89de6 completed March 9, 2026, 8:20 p.m.
Created at: March 6, 2026, 9:46 p.m.