Triple

T25107025
Position Surface form Disambiguated ID Type / Status
Subject Seventh Ward of Philadelphia E628892 entity
Predicate hasSocioeconomicIssues P55317 FINISHED
Object segregation 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: segregation | Statement: [Seventh Ward of Philadelphia, hasSocioeconomicIssues, segregation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSocioeconomicIssues
Context triple: [Seventh Ward of Philadelphia, hasSocioeconomicIssues, segregation]
  • A. hasSocioeconomicIssue chosen
    Indicates that an entity is affected by, associated with, or involved in a socioeconomic problem or challenge.
  • B. hasEconomicChallenge
    Indicates that an entity is experiencing or facing a financial or economic difficulty, constraint, or problem.
  • C. hasSocioEconomicContext
    Indicates the broader social and economic conditions or circumstances within which an entity, event, or relationship occurs or is interpreted.
  • D. socioEconomicBase
    Indicates a foundational socio-economic relationship where one entity serves as the economic or social basis, support, or underlying structure for another.
  • E. economicStatus
    Indicates the financial or socioeconomic condition or standing of an entity relative to others or to defined economic criteria.
  • 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_69e2ff3071548190b62d1ac237397197 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f5f6baf2d48190a6a4cd6501be87d2 completed May 2, 2026, 1:06 p.m.
PD Predicate disambiguation batch_69f5afd5baac8190bb8ed576813c8591 completed May 2, 2026, 8:03 a.m.
Created at: April 18, 2026, 6:26 a.m.