Triple

T16895877
Position Surface form Disambiguated ID Type / Status
Subject RMS Aquitania E424298 entity
Predicate namedAfter P63 FINISHED
Object Aquitaine E415514 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: Aquitaine | Statement: [RMS Aquitania, namedAfter, Aquitaine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aquitaine
Context triple: [RMS Aquitania, namedAfter, Aquitaine]
  • A. Aquitaine chosen
    Aquitaine is a historical region in southwestern France known for its rich medieval heritage, strategic importance in European power struggles, and later prominence as a center of culture and wine production.
  • B. Gascogne
    Gascogne is a historic cultural region in southwestern France known for its Gascon language, rich rural traditions, and distinctive cuisine including Armagnac and foie gras.
  • C. Languedoc
    Languedoc is a historic region in southern France known for its Occitan culture, medieval towns, and long-standing wine-making tradition.
  • D. Nouvelle-Aquitaine
    Nouvelle-Aquitaine is the largest administrative region of France, located in the southwest and known for its Atlantic coastline, wine regions like Bordeaux, and diverse cultural and natural landscapes.
  • E. Touraine
    Touraine is a historic region in central France, famed for its Loire Valley châteaux, wine production, and role as a former royal heartland.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8d7aec88190888f13601acbcd77 completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d45647f481908ae76a0b8fe8a9cb completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:29 a.m.