Triple

T18430908
Position Surface form Disambiguated ID Type / Status
Subject 200 Vesey Street E450264 entity
Predicate majorTenant P11754 FINISHED
Object American Express NE NERFINISHED

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: American Express | Statement: [200 Vesey Street, majorTenant, American Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: American Express
Context triple: [200 Vesey Street, majorTenant, American Express]
  • A. American Express chosen
    American Express is a global financial services company best known for its charge and credit cards, payment network, and travel-related services.
  • B. Discover Card
    Discover Card is a major U.S. credit card brand known for its cash-back rewards, no annual fees on many cards, and widespread acceptance.
  • C. Mastercard
    Mastercard is a global financial services corporation best known for its widely used credit and debit card payment network.
  • D. Diners Club International
    Diners Club International is a global charge card and payment network brand known as one of the world’s first multipurpose payment cards, now owned and operated by Discover Financial Services.
  • E. American Express Green Card
    The American Express Green Card is a travel-focused charge card that earns Membership Rewards points and offers benefits like travel protections and statement credits for frequent travelers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51b16b9c881908245c888a4b785bf completed April 19, 2026, 6:12 p.m.
Created at: April 10, 2026, 11:26 a.m.