Triple

T6491592
Position Surface form Disambiguated ID Type / Status
Subject Countess of Boulogne E148048 entity
Predicate region P40 FINISHED
Object Pas-de-Calais E63427 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: Pas-de-Calais | Statement: [Countess of Boulogne, region, Pas-de-Calais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pas-de-Calais
Context triple: [Countess of Boulogne, region, Pas-de-Calais]
  • A. Pas-de-Calais chosen
    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.
  • B. Boulonnais
    Boulonnais is a regional variety of the Picard language traditionally spoken around the Boulogne-sur-Mer area in northern France.
  • C. Pays de Falaise
    Pays de Falaise is a historical region in Normandy, France, centered around the town of Falaise and known for its medieval heritage and association with William the Conqueror.
  • D. Seine-Maritime
    Seine-Maritime is a coastal department in the Normandy region of northern France, known for its port city of Le Havre and the historic town of Rouen.
  • E. Pays du Bessin
    Pays du Bessin is a historical and coastal area in Normandy, France, encompassing several communes including parts of the D-Day landing beaches.
  • 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a9bf9208190b0957eda06ed3d65 completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c65fdc835081909772f3a3aaee538f completed March 27, 2026, 10:45 a.m.
Created at: March 22, 2026, 4:53 p.m.