Triple

T19539049
Position Surface form Disambiguated ID Type / Status
Subject Charles II of Navarre E488845 entity
Predicate placeOfBirth P1 FINISHED
Object Évreux 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: Évreux | Statement: [Charles II of Navarre, placeOfBirth, Évreux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Évreux
Context triple: [Charles II of Navarre, placeOfBirth, Évreux]
  • A. Evreux chosen
    Evreux is a historic town in northern France, known for its Gothic cathedral and role as the capital of the Eure department in Normandy.
  • B. Bourges
    Bourges is a historic city in central France known for its well-preserved medieval architecture and its UNESCO-listed Gothic cathedral, Saint-Étienne.
  • C. Blois
    Blois is a historic city in central France known for its Renaissance château, picturesque setting on the Loire River, and rich royal heritage.
  • D. Melun
    Melun is a historic commune in the Île-de-France region of north-central France, known as a regional administrative center and former royal town southeast of Paris.
  • E. Alençon
    Alençon is a historic town in northwestern France renowned for its fine lace-making tradition and architectural heritage.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e638710b8c81908335535869fc9130 completed April 20, 2026, 2:30 p.m.
Created at: April 10, 2026, 1:41 p.m.