Triple

T3628303
Position Surface form Disambiguated ID Type / Status
Subject Charlotte Corday E76892 entity
Predicate residence P75 FINISHED
Object Caen, France E99797 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: Caen, France | Statement: [Charlotte Corday, residence, Caen, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caen, France
Context triple: [Charlotte Corday, residence, Caen, France]
  • A. Caen chosen
    Caen is a historic city in Normandy, France, known for its medieval architecture, ties to William the Conqueror, and its role in the World War II Normandy campaign.
  • B. Saint-Lô
    Saint-Lô is a historic town in northwestern France, known for its heavy destruction during World War II and its role as an administrative and commercial center in the Normandy region.
  • C. Arromanches-les-Bains
    Arromanches-les-Bains is a coastal town in Normandy, France, best known for its role in the D-Day landings and the remains of the Mulberry artificial harbor just offshore.
  • D. Mont-Saint-Aignan, France
    Mont-Saint-Aignan, France is a suburban commune near Rouen in Normandy, known as a residential and educational center and as the birthplace of legendary cyclist Jacques Anquetil.
  • E. Étaples, France
    Étaples, France is a coastal town in northern France’s Pas-de-Calais department, historically known as a fishing port and for its role in World War I as the site of a major British military base and cemetery.
  • 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_69ad85dc03948190b35b7189e4175bcc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2df2b708190afef6925a53ec551 completed March 8, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cddcfeec8190920648ec66b2a53c completed March 14, 2026, 2:54 a.m.
Created at: March 8, 2026, 3:23 p.m.