Triple

T513652
Position Surface form Disambiguated ID Type / Status
Subject Midtown Manhattan E10658 entity
Predicate hasStreet P959 FINISHED
Object Madison Avenue E62784 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: Madison Avenue | Statement: [Midtown Manhattan, hasStreet, Madison Avenue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madison Avenue
Context triple: [Midtown Manhattan, hasStreet, Madison Avenue]
  • A. Madison Avenue chosen
    Madison Avenue is a major north–south thoroughfare in Manhattan, New York City, historically renowned as a global center of the advertising industry.
  • B. Fifth Avenue
    Fifth Avenue is a major thoroughfare in Manhattan renowned as one of the world’s premier shopping streets and a symbol of New York City’s luxury and culture.
  • C. Seventh Avenue
    Seventh Avenue is a major north–south thoroughfare in Manhattan, New York City, known for running through key commercial and cultural areas including the Garment District and Times Square.
  • D. Grant Avenue
    Grant Avenue is a historic thoroughfare in San Francisco best known as the main tourist and commercial street running through Chinatown.
  • E. York Avenue
    York Avenue is a major north–south thoroughfare on Manhattan’s Upper East Side in New York City, known for running through a corridor of prominent medical and research institutions.
  • 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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1804e908190a1d34ac952e84a3f completed Feb. 28, 2026, 1:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4c02c26808190b3078fb04f34572c completed March 1, 2026, 10:39 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.