Triple

T10017710
Position Surface form Disambiguated ID Type / Status
Subject Central Ward E199535 entity
Predicate hasSocialIssues P55317 FINISHED
Object concentrated poverty in some neighborhoods 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: concentrated poverty in some neighborhoods | Statement: [Central Ward, hasSocialIssues, concentrated poverty in some neighborhoods]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSocialIssues
Context triple: [Central Ward, hasSocialIssues, concentrated poverty in some neighborhoods]
  • A. socialIssue
    Indicates a relationship where something is recognized or treated as a problem or concern affecting society or a community at large.
  • B. hasSocioeconomicIssue chosen
    Indicates that an entity is affected by, associated with, or involved in a socioeconomic problem or challenge.
  • C. socialConcern
    Indicates a relationship where an entity is concerned about, attentive to, or actively engaged with social issues, problems, or well-being.
  • D. hasUrbanIssue
    Indicates that an entity experiences, is affected by, or is associated with a specific problem or challenge related to urban environments or city life.
  • E. hasViewOnSociety
    Indicates that an entity holds a particular perspective, opinion, or stance regarding society or social structures.
  • 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_69ca8315a1a08190ab310f25620f362b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd4de1588190a89ed575cff0b8c9 completed April 2, 2026, 1:58 a.m.
PD Predicate disambiguation batch_69cd4b7cd4208190b2253583ee2f892c completed April 1, 2026, 4:44 p.m.
Created at: March 30, 2026, 8:53 p.m.