Triple

T28469199
Position Surface form Disambiguated ID Type / Status
Subject Community District 7, Queens E720383 entity
Predicate hasMajorCommercialCenter P79077 FINISHED
Object Downtown Flushing 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: Downtown Flushing | Statement: [Community District 7, Queens, hasMajorCommercialCenter, Downtown Flushing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMajorCommercialCenter
Context triple: [Community District 7, Queens, hasMajorCommercialCenter, Downtown Flushing]
  • A. hasMajorCommercialCentre chosen
    Indicates that a place contains or hosts a primary hub of significant commercial or business activity.
  • B. hasMajorCity
    Indicates that a location possesses at least one city of significant size, importance, or influence within its region or country.
  • C. isMajorCenterOf
    Indicates that a place serves as a primary hub or focal point for a particular activity, function, or domain.
  • D. hasCommercialCenterType
    Indicates that an entity has or is associated with a specific type or category of commercial center (e.g., mall, shopping district, business park).
  • E. hasMajorCityFunction
    Indicates that an entity serves an important urban role or function typically associated with a major city (such as being a commercial, administrative, or cultural center).
  • F. None of above.

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_69f01a58a67c819097936d9e8da8d6e6 completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69fecd0a732c819097bdd3eb69b6158c completed May 9, 2026, 5:58 a.m.
PD Predicate disambiguation batch_69fecc0318d481908b5b20598a76a9fe completed May 9, 2026, 5:54 a.m.
Created at: April 28, 2026, 2:47 a.m.