Triple

T6793788
Position Surface form Disambiguated ID Type / Status
Subject 15th Army E155999 entity
Predicate garrisonLocation 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: [15th Army, garrisonLocation, Pas-de-Calais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pas-de-Calais
Context triple: [15th Army, garrisonLocation, 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_69c6881844448190a65822d9b39d7f88 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2c59648819081736d27d52d957f completed March 27, 2026, 6:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a90dfb081909120e8502b26a88b completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:15 p.m.