Triple

T5243129
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan Sports Center E118392 entity
Predicate nearby P350 FINISHED
Object Mall of America E29589 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: Mall of America | Statement: [Metropolitan Sports Center, nearby, Mall of America]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mall of America
Context triple: [Metropolitan Sports Center, nearby, Mall of America]
  • A. Mall of America chosen
    Mall of America is one of the largest shopping and entertainment complexes in the United States, featuring hundreds of stores, restaurants, and an indoor amusement park.
  • B. Gurnee Mills
    Gurnee Mills is a large outlet and value shopping mall in Gurnee, Illinois, known for its extensive selection of retail stores, dining, and entertainment options.
  • C. Gateway Mall
    Gateway Mall is a major commercial shopping complex located in the Cubao district of Quezon City, Philippines.
  • D. MGF Metropolitan Mall
    MGF Metropolitan Mall is a popular retail and entertainment shopping complex located in Gurugram, India.
  • E. Mall of Scandinavia
    Mall of Scandinavia is one of the largest and most modern shopping and entertainment centers in Scandinavia, located just north of central Stockholm in Sweden.
  • 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_69bd4468aacc8190a8196f71855cdf4f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b4da7308190856cdcee9cca41eb completed March 20, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef82f2738819080c5a0963f6dbbb0 completed March 21, 2026, 7:57 p.m.
Created at: March 20, 2026, 1:49 p.m.