Triple

T7453065
Position Surface form Disambiguated ID Type / Status
Subject Reunions policy of Louis XIV E172052 entity
Predicate appliesTo P1129 FINISHED
Object Saar region E36080 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: Saar region | Statement: [Reunions policy of Louis XIV, appliesTo, Saar region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saar region
Context triple: [Reunions policy of Louis XIV, appliesTo, Saar region]
  • A. Lebern region
    The Lebern region is an administrative district in the canton of Solothurn in northwestern Switzerland, encompassing several municipalities including Langendorf.
  • B. Saarland chosen
    Saarland is a small federal state in southwestern Germany known for its industrial history, Franco-German cultural influences, and location along the borders with France and Luxembourg.
  • C. Sabine region
    The Sabine region is a historical area of central Italy inhabited by the ancient Sabine people, known for its early interactions and eventual integration with Roman civilization.
  • D. Alsacia
    Alsacia is a Madrid Metro station on Line 2 serving the San Blas-Canillejas district in eastern Madrid, Spain.
  • E. Alsace-Lorraine
    Alsace-Lorraine is a historically contested border region between France and Germany, known for its mixed cultural heritage and strategic importance in European conflicts.
  • 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_69c68a66554c8190add75c65942c0317 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f3ac5c2081908ab03f8bd4586f94 completed March 27, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c827bedc408190a9a77f293fb12762 completed March 28, 2026, 7:10 p.m.
Created at: March 27, 2026, 3:14 p.m.