Triple

T2710533
Position Surface form Disambiguated ID Type / Status
Subject Roseland, Chicago E59847 entity
Predicate hasEconomicIssues P24789 FINISHED
Object unemployment 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: unemployment | Statement: [Roseland, Chicago, hasEconomicIssues, unemployment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEconomicIssues
Context triple: [Roseland, Chicago, hasEconomicIssues, unemployment]
  • A. hasEconomicChallenge chosen
    Indicates that an entity is experiencing or facing a financial or economic difficulty, constraint, or problem.
  • B. economicSectorIssue
    Indicates that there is a problem, challenge, or concern affecting a particular economic sector.
  • C. hasEconomicDevelopment
    Indicates that one entity possesses, experiences, or is characterized by a certain level or type of economic growth, progress, or improvement in its economic conditions.
  • D. hasEconomicRole
    Indicates that an entity participates in or fulfills a specific function, position, or responsibility within an economic system or activity.
  • E. hasEconomicResource
    Indicates that an entity possesses, controls, or has access to an economic resource (such as money, assets, or productive means) that can be used for economic activities or value creation.
  • 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_69ab4ac92a088190bc74bca14038e3de completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda7771a4819081904bd6b818b81b completed March 7, 2026, 7:57 a.m.
PD Predicate disambiguation batch_69abd8224c688190bb4a362360b03007 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:55 p.m.