Triple

T14843920
Position Surface form Disambiguated ID Type / Status
Subject Picard E349035 entity
Predicate spokenInRegion P7445 FINISHED
Object Picardy E242475 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: Picardy | Statement: [Picard, spokenInRegion, Picardy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Picardy
Context triple: [Picard, spokenInRegion, Picardy]
  • A. Picardy chosen
    Picardy is a historical region in northern France known for its strategic location, rich medieval heritage, and significant role in European conflicts.
  • B. de Lorraine
    de Lorraine is the noble family name of a prominent French aristocratic and ecclesiastical lineage, notably associated with high-ranking churchmen such as the Cardinal of Lorraine.
  • C. French Lorraine
    French Lorraine is a historical region in northeastern France whose culture reflects a blend of French and Germanic influences.
  • D. Poix-de-Picardie
    Poix-de-Picardie is a small commune in northern France known for its rural character and location within the historical Picardy region.
  • E. Upper Lorraine
    Upper Lorraine was a historical duchy in the Holy Roman Empire, centered in what is now northeastern France and parts of neighboring countries, known for its predominantly German-speaking population and strategic position between France and Germany.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded291103c8190a64cfe700bfee197 completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe64fe89e88190912cd205feef85d3 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:53 a.m.