Triple

T13548232
Position Surface form Disambiguated ID Type / Status
Subject Macworld 2008 E323570 entity
Predicate organizedBy P123 FINISHED
Object IDG World Expo E198715 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: IDG World Expo | Statement: [Macworld 2008, organizedBy, IDG World Expo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IDG World Expo
Context triple: [Macworld 2008, organizedBy, IDG World Expo]
  • A. IDG World Expo chosen
    IDG World Expo is a trade show and conference organizer known for producing major technology events and exhibitions worldwide.
  • B. Macworld Expo
    Macworld Expo was a major annual trade show and conference focused on Apple Macintosh products, software, and related technologies, serving as a key venue for product launches and community gatherings.
  • C. CeBIT trade fair
    The CeBIT trade fair was one of the world’s largest and most influential exhibitions for information technology and telecommunications, held annually in Hanover, Germany.
  • D. Consumer Electronics Show
    The Consumer Electronics Show (CES) is a major annual trade show in Las Vegas where technology companies debut and showcase new consumer electronics and innovations.
  • E. Hannover Messe
    Hannover Messe is one of the world’s largest and most influential industrial technology trade fairs, held annually in Hanover, Germany.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafdcecf481909999a173b32a58cd completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bae316081909e048ead31a9575a completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:45 p.m.