Triple

T36133
Position Surface form Disambiguated ID Type / Status
Subject Los Angeles E715 entity
Predicate hasSisterCity P919 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: [Los Angeles, hasSisterCity, Mexico City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mexico City
Context triple: [Los Angeles, hasSisterCity, 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. 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.
  • C. Guadalajara
    Guadalajara is a large cultural and economic hub in western Mexico, renowned for its colonial architecture, mariachi music, and role as a major center of industry and technology.
  • D. Mexico City Metro
    The Mexico City Metro is a large rapid transit system serving Mexico City and its metropolitan area, known for its extensive network, high ridership, and iconic pictogram-based station signage.
  • E. Tijuana
    Tijuana is a large, bustling border city in northwestern Mexico known for its cultural vibrancy, manufacturing industry, and close economic and social ties with the neighboring U.S. city of San Diego.
  • 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24ec1ef5481909daf99654dfa3f57 completed Feb. 28, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2c93548988190a7514e0cc2df0de4 completed Feb. 28, 2026, 10:53 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.