Triple

T8720061
Position Surface form Disambiguated ID Type / Status
Subject TER Normandie E206987 entity
Predicate connectsCity P4245 FINISHED
Object Lisieux E230690 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: Lisieux | Statement: [TER Normandie, connectsCity, Lisieux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisieux
Context triple: [TER Normandie, connectsCity, 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 (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_69ca835811d8819081ea00fd2a2c9a1c completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d02a52c81909f93622ae6920b80 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d017060fd08190bd053f988bd74048 completed April 3, 2026, 7:37 p.m.
Created at: March 30, 2026, 6:36 p.m.