Triple

T8486459
Position Surface form Disambiguated ID Type / Status
Subject Mother of George E200842 entity
Predicate basedInCommunity P8617 FINISHED
Object Nigerian-American community in Brooklyn LITERAL 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: Nigerian-American community in Brooklyn | Statement: [Mother of George, basedInCommunity, Nigerian-American community in Brooklyn]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: basedInCommunity
Context triple: [Mother of George, basedInCommunity, Nigerian-American community in Brooklyn]
  • A. communityBased
    Indicates that something is organized, developed, or delivered within and by a local community, emphasizing local participation, control, and context.
  • B. hasNearbyCommunity
    Indicates that one entity has another community located close to it in geographic or spatial terms.
  • C. isCommunityOf
    Indicates that one entity functions as a community composed of, or defined by, the members or elements represented by the other entity.
  • D. hasCommunityIn
    Indicates that a community is present, active, or established within a specified location, platform, or context.
  • E. includesCommunity chosen
    Indicates that one entity encompasses, contains, or has within it a particular community as part of its scope or composition.
  • 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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe53c4d608190a766c0e919a4b96f completed March 31, 2026, 3:16 p.m.
PD Predicate disambiguation batch_69cbd107633c8190a36ba50e07876918 completed March 31, 2026, 1:49 p.m.
Created at: March 30, 2026, 6:13 p.m.