Triple

T22511631
Position Surface form Disambiguated ID Type / Status
Subject House of Bourbon E556532 entity
Predicate hasOriginIn P3654 FINISHED
Object Bourbon-l'Archambault NE NERFINISHED

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: Bourbon-l'Archambault | Statement: [House of Bourbon, hasOriginIn, Bourbon-l'Archambault]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bourbon-l'Archambault
Context triple: [House of Bourbon, hasOriginIn, Bourbon-l'Archambault]
  • A. Bourbon-l’Archambault chosen
    Bourbon-l’Archambault is a historic spa town in central France known as the ancestral seat of the Bourbon dynasty.
  • B. Le Meux
    Le Meux is a commune in the Oise department of northern France.
  • C. Bourbon-Condé
    Bourbon-Condé was a prominent cadet branch of the French royal House of Bourbon, whose princes played major political and military roles in France from the 16th to the 19th centuries.
  • D. Bourbon France
    Bourbon France was the French kingdom ruled by the Bourbon dynasty from the late 16th century until the French Revolution, characterized by strong centralized monarchy and major roles in European conflicts.
  • E. Guérard
    Guérard is a small commune in the Seine-et-Marne department in north-central France, known for its rural character and proximity to the Paris metropolitan area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d6082e48190a2726907333b6cf1 completed April 29, 2026, 1:22 a.m.
Created at: April 16, 2026, 8:50 p.m.