Triple

T11413705
Position Surface form Disambiguated ID Type / Status
Subject Vivarais E270434 entity
Predicate namedAfter P63 FINISHED
Object Viviers E944037 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: Viviers | Statement: [Vivarais, namedAfter, Viviers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viviers
Context triple: [Vivarais, namedAfter, Viviers]
  • A. Viviers chosen
    Viviers is a historic town in southern France known for its well-preserved medieval architecture and role as an important religious and administrative center in the Rhône Valley.
  • B. Villecroze
    Villecroze is a small commune in southeastern France’s Var department, known for its medieval village center and nearby troglodyte caves.
  • C. Brioude
    Brioude is a historic town in south-central France known for its Romanesque Basilica of Saint-Julien and its location in the Haute-Loire department of the Auvergne region.
  • D. Montbéliard
    Montbéliard is a historic town in eastern France, near the Swiss border, known for its former status as a Württemberg principality and its distinctive blend of French and German cultural influences.
  • E. Tournus
    Tournus is a historic town in eastern France’s Burgundy region, known for its Romanesque abbey and riverside setting along the Saône.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801acd9bc81908a23b1b7b4e778d3 completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f28076f52881908e4438f623af2749 completed April 29, 2026, 10:04 p.m.
Created at: April 8, 2026, 9:34 p.m.