Triple

T13485478
Position Surface form Disambiguated ID Type / Status
Subject Arts and Industries Building E318487 entity
Predicate alsoKnownAs P39 FINISHED
Object AIB E318487 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: AIB | Statement: [Arts and Industries Building, alsoKnownAs, AIB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AIB
Context triple: [Arts and Industries Building, alsoKnownAs, AIB]
  • A. AIB chosen
    AIB is the Smithsonian Institution’s historic Arts and Industries Building in Washington, D.C., known as one of the oldest museum buildings on the National Mall.
  • B. AIB
    AIB is a German vehicle registration code used for the district of Rosenheim in Bavaria.
  • C. Ais
    The Ais were a Native American people who inhabited the Atlantic coast of what is now central and southeastern Florida prior to European colonization.
  • D. iBBA
    The iBBA is an international-focused Bachelor of Business Administration program offered by the Schulich School of Business that emphasizes global business education and cross-cultural experience.
  • E. ABF
    ABF is the Australian Border Force, the government agency responsible for border protection, customs, and immigration enforcement in Australia.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf3a15b48190b63fb59e926a97ae completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7463715dc8190a70a17b3ea661006 completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:42 p.m.