Triple

T15889675
Position Surface form Disambiguated ID Type / Status
Subject Amoco Building E385282 entity
Predicate hasTenant P3277 FINISHED
Object Aon plc E48249 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: Aon plc | Statement: [Amoco Building, hasTenant, Aon plc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aon plc
Context triple: [Amoco Building, hasTenant, Aon plc]
  • A. Aon Corporation chosen
    Aon Corporation is a global professional services firm specializing in risk management, insurance brokerage, and human capital consulting.
  • B. Willis Group Holdings
    Willis Group Holdings was a global insurance brokerage and risk management firm best known for acquiring the naming rights to Chicago’s Willis Tower (formerly the Sears Tower).
  • C. AIG
    AIG (American International Group) is a global insurance and financial services corporation known for its extensive property-casualty, life insurance, and retirement products.
  • D. Allianz
    Allianz is a leading global financial services company, best known as one of the world’s largest insurance and asset management providers.
  • E. Swiss Re
    Swiss Re is a leading global reinsurance company headquartered in Zurich, Switzerland, providing risk transfer and insurance solutions worldwide.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1561d5c28819094c3541d917a4433 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb047b6248190b6c11ef20636f50f completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:51 a.m.