Triple

T13569314
Position Surface form Disambiguated ID Type / Status
Subject Anna Seghers E324115 entity
Predicate workLocation P7 FINISHED
Object Mexico City E685 NE 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: Mexico City | Statement: [Anna Seghers, workLocation, Mexico City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mexico City
Context triple: [Anna Seghers, workLocation, Mexico City]
  • A. Mexico City chosen
    Mexico City is the densely populated cultural, political, and economic center of Mexico, known for its rich history, colonial architecture, and vibrant urban life.
  • B. Santa Fe, Mexico City
    Santa Fe, Mexico City is a major modern business and residential district in western Mexico City known for its skyscrapers, corporate offices, upscale shopping centers, and contemporary urban development.
  • C. Monterrey
    Monterrey is a municipality in the Casanare Department of eastern Colombia, known for its cattle ranching, oil-related activities, and llanero (plains) culture.
  • D. Monterrey
    Monterrey is a major industrial and economic hub in northeastern Mexico, known for its modern skyline, strong manufacturing base, and role as a center of business and education.
  • E. Cuauhtémoc, Mexico City
    Cuauhtémoc is a central borough of Mexico City that serves as the city’s historic, political, and cultural core, encompassing major landmarks, government buildings, and commercial districts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb00f5b8881908617f42d227ed137 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76ba344e0819098da09416a913851 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:48 p.m.