Triple

T2887756
Position Surface form Disambiguated ID Type / Status
Subject Michel Eugène Chevreul E59546 entity
Predicate birthPlace P1 FINISHED
Object Angers, France E71733 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: Angers, France | Statement: [Michel Eugène Chevreul, birthPlace, Angers, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angers, France
Context triple: [Michel Eugène Chevreul, birthPlace, Angers, France]
  • A. Amiens, France
    Amiens, France is a historic city in northern France known for its Gothic cathedral and as the birthplace of French President Emmanuel Macron.
  • B. Angers chosen
    Angers is a historic city in western France known for its medieval architecture, including the Château d'Angers and its famous Apocalypse Tapestry.
  • C. Douai, France
    Douai, France is a historic town in northern France known for its medieval belfry, legal and university traditions, and role as a regional administrative center.
  • D. Montlouis-sur-Loire, France
    Montlouis-sur-Loire is a commune in central France’s Loire Valley, known for its vineyards and historic châteaux along the Loire River.
  • E. Bourges, France
    Bourges, France is a historic city in central France known for its well-preserved medieval architecture and the UNESCO-listed Bourges Cathedral.
  • 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_69ab4ac739188190a112f42a5a69c951 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abe047aa7c8190a0ed570c13f3a1a2 completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0317601688190a8a99644579b137c completed March 10, 2026, 2:57 p.m.
Created at: March 6, 2026, 10:03 p.m.