Triple

T3100405
Position Surface form Disambiguated ID Type / Status
Subject Trump Village E64701 entity
Predicate neighborhood P988 FINISHED
Object Coney Island E35441 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: Coney Island | Statement: [Trump Village, neighborhood, Coney Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coney Island
Context triple: [Trump Village, neighborhood, Coney Island]
  • A. Coney Island chosen
    Coney Island is a historic seaside amusement area in southern Brooklyn, New York City, known for its boardwalk, beaches, and iconic rides like the Cyclone roller coaster.
  • B. Coney Island Funnyland
    Coney Island Funnyland is a historic funhouse attraction at Sydney’s Luna Park, known for its classic slides, moving floors, and vintage carnival charm.
  • C. Coney Island Beach
    Coney Island Beach is a popular public beachfront in Brooklyn, New York City, known for its boardwalk, amusement attractions, and Atlantic Ocean shoreline.
  • D. Royal Pier
    Royal Pier is a historic seaside pleasure pier and popular visitor attraction located on the waterfront of Aberystwyth in Wales.
  • E. Red Hook Recreation Area
    Red Hook Recreation Area is a large public park in Brooklyn, New York, known for its athletic fields, waterfront views, and community recreation facilities.
  • 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_69ad857dc98481909e585dc3372e3ed5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada26b03a081909cf187b9a8f805ce completed March 8, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224c4e59c819084a3aa19824c1621 completed March 12, 2026, 2:28 a.m.
Created at: March 8, 2026, 3:03 p.m.