Triple

T4102044
Position Surface form Disambiguated ID Type / Status
Subject FIAC E87962 entity
Predicate organizer P123 FINISHED
Object Reed Expositions France E354984 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: Reed Expositions France | Statement: [FIAC, organizer, Reed Expositions France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reed Expositions France
Context triple: [FIAC, organizer, Reed Expositions France]
  • A. Reed Exhibitions chosen
    Reed Exhibitions is a global events and trade show organizer known for producing large-scale exhibitions and conferences across diverse industries worldwide.
  • B. Salon du Bourget
    Salon du Bourget is the French name for the Paris Air Show, one of the world’s largest and oldest international aerospace industry exhibitions held at Le Bourget Airport near Paris.
  • C. Bureau International des Expositions
    The Bureau International des Expositions is the intergovernmental organization responsible for overseeing and regulating World Expos and other international exhibitions.
  • D. Messe
    Messe is a Nuremberg U-Bahn station serving the city’s exhibition and trade fair grounds.
  • E. Paris Expo Porte de Versailles
    Paris Expo Porte de Versailles is one of Europe’s largest and most important exhibition and convention centers, hosting major trade shows, conferences, and events in southwest Paris.
  • 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_69aed94564cc8190a9c1457daedb6e7f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefd1012208190ab0980c661d6bc41 completed March 9, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b7833b081909bf5a87ee709b49f completed March 14, 2026, 2:06 p.m.
Created at: March 9, 2026, 3:40 p.m.