Triple

T17592181
Position Surface form Disambiguated ID Type / Status
Subject Gare de Caen E428473 entity
Predicate connectsTo P845 FINISHED
Object Lisieux NE NERFINISHED

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: Lisieux | Statement: [Gare de Caen, connectsTo, Lisieux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisieux
Context triple: [Gare de Caen, connectsTo, Lisieux]
  • A. Lisieux chosen
    Lisieux is a town and commune in the Calvados department of Normandy in northwestern France, known as a major Catholic pilgrimage site associated with Saint Thérèse of Lisieux.
  • B. Serigny
    Serigny is a French given name historically associated with the colonial-era figure Serigny Le Moyne.
  • C. Cholet
    Cholet is a town in western France’s Maine-et-Loire department, known historically for its textile industry and as part of the Pays de la Loire region.
  • D. Saint-Brais
    Saint-Brais is a small rural municipality in the canton of Jura in northwestern Switzerland, situated in the Franches-Montagnes district.
  • E. Condé-sur-Vire
    Condé-sur-Vire is a commune in the Manche department of northwestern France, historically noted as the birthplace of the Jesuit missionary and martyr Jean de Brébeuf.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469e79dac8190953a1ce8fc015b20 completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 5:51 a.m.