Triple

T3264875
Position Surface form Disambiguated ID Type / Status
Subject Rennes E68501 entity
Predicate capitalOf P204 FINISHED
Object Brittany region E28915 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: Brittany region | Statement: [Rennes, capitalOf, Brittany region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brittany region
Context triple: [Rennes, capitalOf, Brittany region]
  • A. Brittany chosen
    Brittany is a historic cultural region in northwest France known for its distinct Celtic heritage, Breton language, rugged coastline, and strong Catholic traditions.
  • B. Western France
    Western France is the Atlantic-facing part of France known for its coastal landscapes, maritime climate, and historic regions such as Brittany and Pays de la Loire.
  • C. Hauts-de-France
    Hauts-de-France is a region in northern France known for its industrial heritage, coastal areas along the English Channel, and proximity to Belgium and the United Kingdom.
  • D. Pays de la Loire
    Pays de la Loire is a region in western France known for its Atlantic coastline, historic cities like Nantes and Angers, and numerous Loire Valley châteaux.
  • E. Guyenne
    Guyenne is a historic province in southwestern France that once formed part of the larger region of Aquitaine and played a key role in medieval Franco-English conflicts.
  • 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafcb2da08190a7f4fefdfe6d0098 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48819b284819092e0a8db20d3e3a2 completed March 13, 2026, 9:56 p.m.
Created at: March 8, 2026, 3:09 p.m.