Triple

T8965393
Position Surface form Disambiguated ID Type / Status
Subject Bloomington E214116 entity
Predicate hasAttraction P105 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: [Bloomington, hasAttraction, Mall of America]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mall of America
Context triple: [Bloomington, hasAttraction, 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. Woodland Mall
    Woodland Mall is a large regional shopping mall serving the Grand Rapids area in Kentwood, Michigan, featuring numerous retail stores, dining options, and entertainment venues.
  • C. Valley Fair Mall
    Valley Fair Mall is a major regional shopping center located in West Valley City, Utah, featuring a variety of retail stores, dining options, and entertainment venues.
  • D. 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.
  • E. Gateway Mall
    Gateway Mall is a major commercial shopping complex located in the Cubao district of Quezon City, Philippines.
  • 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_69ca839cd6008190a1546a701a56710c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc674c4be8819090d46aba8ab40af3 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0a753f8819084b952f20997c8d6 completed April 3, 2026, 2:37 p.m.
Created at: March 30, 2026, 7:01 p.m.