Triple

T14053144
Position Surface form Disambiguated ID Type / Status
Subject Chevalier de Lévis E338142 entity
Predicate familyName P18 FINISHED
Object de Lévis E338471 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: de Lévis | Statement: [Chevalier de Lévis, familyName, de Lévis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: de Lévis
Context triple: [Chevalier de Lévis, familyName, de Lévis]
  • A. Lévis chosen
    Lévis is a city located on the south shore of the St. Lawrence River in Quebec, Canada, directly across from Quebec City.
  • B. Laval
    Laval is a major city in western France, located in the Mayenne department, known for its historic architecture and role as an administrative and economic center of the region.
  • C. Laval
    Laval is a large suburban city and island located just north of Montreal in southwestern Quebec, Canada.
  • D. Laval
    Laval is a French surname most notably associated with Pierre Laval, a prominent and controversial political figure during the Vichy regime in World War II.
  • E. Blainville
    Blainville is a suburban town in southwestern Quebec, Canada, known for its residential communities and proximity to the Greater Montreal area.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c8bc54c8190a12f0fc056568538 completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdefaabd0819098870522a6ce850c completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:20 p.m.