Triple

T683219
Position Surface form Disambiguated ID Type / Status
Subject Roissy-en-France E13225 entity
Predicate locatedOn P40 FINISHED
Object Pays de France plain E6961 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: Pays de France plain | Statement: [Roissy-en-France, locatedOn, Pays de France plain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pays de France plain
Context triple: [Roissy-en-France, locatedOn, Pays de France plain]
  • A. Touraine
    Touraine is a historic region in central France, famed for its Loire Valley châteaux, wine production, and role as a former royal heartland.
  • B. eastern France
    Eastern France is the region of France bordering countries like Germany, Switzerland, and Belgium, historically significant as a strategic frontier and site of major fortifications and conflicts.
  • C. Western France
    Western France is the Atlantic-facing part of France known for its coastal landscapes, maritime climate, and historic regions such as Brittany and Pays de la Loire.
  • D. Île-de-France region chosen
    Île-de-France is the most populous and economically significant region of France, encompassing Paris and its surrounding metropolitan area.
  • E. Hauts-de-France
    Hauts-de-France is a region in northern France known for its industrial heritage, coastal areas along the English Channel, and proximity to Belgium and the United Kingdom.
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a070d4c08190a510a8f9c1ae8076 completed March 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c3a5701c8190810e5e52bc2b61f7 completed March 2, 2026, 5:06 p.m.
Created at: March 1, 2026, 7:36 p.m.