Triple

T27579
Position Surface form Disambiguated ID Type / Status
Subject New York E550 entity
Predicate hasLandmark P105 FINISHED
Object Wall Street E2854 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: Wall Street | Statement: [New York, hasLandmark, Wall Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wall Street
Context triple: [New York, hasLandmark, Wall Street]
  • A. Wall Street chosen
    Wall Street is the historic financial district in Lower Manhattan that serves as a global center for banking, trading, and economic power.
  • B. Times Square
    Times Square is a major commercial and entertainment hub in Midtown Manhattan, famous for its bright billboards, Broadway theaters, and New Year’s Eve ball drop.
  • C. New York Stock Exchange
    The New York Stock Exchange is the world’s largest and one of its oldest stock exchanges, serving as a central hub for global equity trading and financial markets.
  • D. Chicago Stock Exchange
    The Chicago Stock Exchange is a regional securities exchange in the United States that facilitates the trading of stocks and other financial instruments.
  • E. Broadway Theatre District
    The Broadway Theatre District is New York City's famed hub of live theater and musicals, centered around Times Square and known as the pinnacle of American commercial stage performance.
  • 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_69a243b4ac2c8190b93c303df797b7b2 completed Feb. 28, 2026, 1:24 a.m.
NER Named-entity recognition batch_69a2467875048190aad87347c7a1cb67 completed Feb. 28, 2026, 1:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2552eef10819094c0900499fb2d8f completed Feb. 28, 2026, 2:38 a.m.
Created at: Feb. 28, 2026, 1:34 a.m.