Triple

T17296385
Position Surface form Disambiguated ID Type / Status
Subject Columbia, Maryland E419920 entity
Predicate hasShoppingCenter P1495 FINISHED
Object The Mall in Columbia E104586 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: The Mall in Columbia | Statement: [Columbia, Maryland, hasShoppingCenter, The Mall in Columbia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Mall in Columbia
Context triple: [Columbia, Maryland, hasShoppingCenter, The Mall in Columbia]
  • A. The Mall in Columbia chosen
    The Mall in Columbia is a large regional shopping and entertainment center located in Columbia, Maryland.
  • B. The Columbia Mall
    The Columbia Mall is a regional shopping center in Columbia, Maryland, featuring a wide range of retail stores, dining options, and entertainment venues.
  • C. Columbia Center Mall
    Columbia Center Mall is a major regional shopping mall serving the Tri-Cities area in southeastern Washington State.
  • D. The Mall at the Source
    The Mall at the Source is a shopping mall located in Westbury on Long Island, New York, featuring a variety of retail stores, dining options, and entertainment venues.
  • E. Cumberland Mall
    Cumberland Mall is a major shopping center in the Cumberland area of Atlanta, Georgia, featuring a wide range of retail stores, dining options, and entertainment venues.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e437881d688190a633beacba6bc0ae completed April 19, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01954afb088190a92a0f32f901f13f completed May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:40 a.m.