Triple

T8719901
Position Surface form Disambiguated ID Type / Status
Subject French regions E206984 entity
Predicate include P1393 FINISHED
Object Bretagne 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: Bretagne | Statement: [French regions, include, Bretagne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bretagne
Context triple: [French regions, include, Bretagne]
  • A. Brittany
    Brittany is one of the primary playable explorers in the Pikmin video game series, known for her role as a botanist and crew member alongside Alph and Charlie in Pikmin 3.
  • B. 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.
  • C. 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.
  • D. Finistère
    Finistère is a coastal department in western France known for its rugged Atlantic shoreline, historic ports, and strong Breton cultural heritage.
  • E. Pays de Brest
    Pays de Brest is a cultural and historical area in western Brittany centered around the port city of Brest, known for its maritime heritage and coastal landscapes.
  • 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_69cf42a3efa881908ffc5e1a257fd472 completed April 3, 2026, 4:31 a.m.
Created at: March 30, 2026, 6:36 p.m.