Triple

T17401069
Position Surface form Disambiguated ID Type / Status
Subject City of Greater Dandenong E423087 entity
Predicate culturalCommunities P8961 FINISHED
Object Vietnamese community 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: Vietnamese community | Statement: [City of Greater Dandenong, culturalCommunities, Vietnamese community]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: culturalCommunities
Context triple: [City of Greater Dandenong, culturalCommunities, Vietnamese community]
  • A. hasCulturalCommunity chosen
    Indicates that an entity is associated with, belongs to, or is part of a specific cultural community.
  • B. currentCommunities
    Indicates that an entity is presently a member of, associated with, or active within one or more communities.
  • C. ethnicCommunityContext
    Indicates the cultural, social, or historical context related to an entity’s association with a particular ethnic community.
  • D. culturalOrganization
    Indicates that an entity is an organization whose primary purpose involves cultural activities, preservation, or promotion.
  • E. culturalScene
    Indicates a relationship where an entity is associated with, participates in, or characterizes a particular cultural environment, milieu, or set of cultural activities.
  • 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43ac126788190b51323bde3c9ba69 completed April 19, 2026, 2:15 a.m.
PD Predicate disambiguation batch_69e3b02e6cc88190986e85e64ce9383e completed April 18, 2026, 4:24 p.m.
Created at: April 10, 2026, 5:45 a.m.