Triple

T2218794
Position Surface form Disambiguated ID Type / Status
Subject Dugny E48091 entity
Predicate partOfUrbanArea P294 FINISHED
Object Paris urban area E76769 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: Paris urban area | Statement: [Dugny, partOfUrbanArea, Paris urban area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris urban area
Context triple: [Dugny, partOfUrbanArea, Paris urban area]
  • A. Grand Paris urban area chosen
    The Grand Paris urban area is the large metropolitan region centered on Paris that encompasses the city and its surrounding suburbs and commuter towns.
  • B. Lyon metropolitan area
    The Lyon metropolitan area is a major urban and economic hub in east-central France, centered on the city of Lyon and known for its historical architecture, gastronomy, and role as a key transport and industrial center.
  • C. Metropolitan France
    Metropolitan France is the part of France located in Europe, encompassing the mainland and nearby coastal islands, and forming the country’s primary political, economic, and demographic center.
  • D. Paris
    Paris is the capital and largest city of France, renowned for its historic architecture, art, fashion, and cultural influence worldwide.
  • E. Paris
    Paris is a prince of Troy in Greek mythology, best known for judging the beauty contest of the goddesses and for abducting Helen, which sparked the Trojan War.
  • 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc011d50c8190b1c375cc633f8189 completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f74880481908ffd16a25792f013 completed March 9, 2026, 7:28 p.m.
Created at: March 4, 2026, 7:46 p.m.