Triple

T16928229
Position Surface form Disambiguated ID Type / Status
Subject Coney Island Avenue E410631 entity
Predicate hasIntersection P1018 FINISHED
Object Avenue H E532437 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: Avenue H | Statement: [Coney Island Avenue, hasIntersection, Avenue H]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avenue H
Context triple: [Coney Island Avenue, hasIntersection, Avenue H]
  • A. Avenue H chosen
    Avenue H is a street in Brooklyn, New York City, known for running through neighborhoods such as Midwood and East Flatbush and serving residential and local commercial areas.
  • B. Avenue 3
    Avenue 3 is a themed shopping corridor within the Sawgrass Mills outlet mall, featuring a variety of retail stores and dining options.
  • C. Van Dyke Avenue
    Van Dyke Avenue is a major north–south thoroughfare in Michigan that serves as a key route through Detroit and its northern suburbs.
  • D. On the Avenue
    "On the Avenue" is a 1937 American musical film featuring songs by Irving Berlin and starring Madeleine Carroll and Dick Powell.
  • E. The Avenue
    The Avenue is an upmarket shopping and dining destination located within the Spinningfields district of Manchester, England.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cdf3fc3c8190a884f7ecd5c47adb completed April 18, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfdb6b608190af910e225d942d37 completed May 10, 2026, 6:35 p.m.
Created at: April 10, 2026, 5:30 a.m.