Triple

T11362117
Position Surface form Disambiguated ID Type / Status
Subject House of Cornouaille E269109 entity
Predicate positionHeld P8 FINISHED
Object Count of Rennes E922745 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: Count of Rennes | Statement: [House of Cornouaille, positionHeld, Count of Rennes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Count of Rennes
Context triple: [House of Cornouaille, positionHeld, Count of Rennes]
  • A. Count of Rennes chosen
    The Count of Rennes was a medieval noble title associated with the rulers of the city and region of Rennes in Brittany, often held by members of prominent Breton dynasties.
  • B. Count of Nantes
    The Count of Nantes was a medieval noble title associated with the rulers of the historic county and city of Nantes in western France.
  • C. Rennes-les-Bains
    Rennes-les-Bains is a small commune in southern France known for its historic thermal spa waters and picturesque setting in the Aude department of the Occitanie region.
  • D. Rennes
    Rennes is the capital city of France’s Brittany region, known for its historic medieval center, vibrant student population, and role as a major cultural and economic hub in western France.
  • E. Rennes Métropole
    Rennes Métropole is the intercommunal metropolitan authority centered on the city of Rennes, coordinating urban planning, transport, and development for the surrounding area in Brittany, France.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea442e5c8190babfde25540b27e9 completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b7ee695c8190851ee2adb3e38738 completed April 20, 2026, 5:21 a.m.
Created at: April 8, 2026, 9:33 p.m.