Triple

T9682186
Position Surface form Disambiguated ID Type / Status
Subject Bernay E234308 entity
Predicate locatedNear P294 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: [Bernay, locatedNear, Lisieux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisieux
Context triple: [Bernay, locatedNear, 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_69ca84c99e34819092e5563a7106cfca completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9c9fec1c8190b2626848cb2c1871 completed April 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1af80358881909cdd91f2aed33ef6 completed April 5, 2026, 12:40 a.m.
Created at: March 30, 2026, 8:16 p.m.