Triple

T661445
Position Surface form Disambiguated ID Type / Status
Subject Orly 2 E11763 entity
Predicate locatedIn P40 FINISHED
Object Île-de-France 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: Île-de-France | Statement: [Orly 2, locatedIn, Île-de-France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Île-de-France
Context triple: [Orly 2, locatedIn, Île-de-France]
  • A. 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.
  • B. 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.
  • C. Nouvelle-Aquitaine
    Nouvelle-Aquitaine is the largest administrative region of France, located in the southwest and known for its Atlantic coastline, wine regions like Bordeaux, and diverse cultural and natural landscapes.
  • D. Pays de la Loire
    Pays de la Loire is a region in western France known for its Atlantic coastline, historic cities like Nantes and Angers, and numerous Loire Valley châteaux.
  • E. Grand Est
    Grand Est is an administrative region in northeastern France that borders Germany, Belgium, Luxembourg, and Switzerland and includes major cities such as Strasbourg, Reims, and Metz.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49fa954988190841740a587ace466 completed March 1, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce4b94d08190b7747b0b6d61e3e1 completed March 8, 2026, 1:18 a.m.
Created at: March 1, 2026, 7:36 p.m.