Triple

T12450384
Position Surface form Disambiguated ID Type / Status
Subject Luxexpo The Box E297514 entity
Predicate shortName P43 FINISHED
Object Luxexpo E297514 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: Luxexpo | Statement: [Luxexpo The Box, shortName, Luxexpo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luxexpo
Context triple: [Luxexpo The Box, shortName, Luxexpo]
  • A. Luxexpo The Box exhibition center chosen
    Luxexpo The Box exhibition center is a major trade fair and events venue in Luxembourg City, hosting exhibitions, conferences, and large-scale public and professional events.
  • B. Helexpo
    Helexpo is Greece’s national exhibition and conference organizer, best known for staging major trade fairs and events such as the Thessaloniki International Fair.
  • C. 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.
  • D. Expo 2000 Hannover
    Expo 2000 Hannover was the first World Expo held in Germany, showcasing global innovation, sustainability, and cultural exchange in the city of Hanover in the year 2000.
  • E. Expo
    Expo is an open-source platform and toolchain for building, deploying, and iterating on React Native applications.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d9fa5f0819080ca9f6efa212c59 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6556839908190ac0401d373ad0fa9 completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:56 p.m.