Triple

T10265800
Position Surface form Disambiguated ID Type / Status
Subject Peter Norman E240707 entity
Predicate OlympicCity P93019 FINISHED
Object Mexico City E685 NE FINISHED

How this triple was built (3 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: [Peter Norman, OlympicCity, Mexico City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mexico City
Context triple: [Peter Norman, OlympicCity, 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.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: OlympicCity
Context triple: [Peter Norman, OlympicCity, Mexico City]
  • A. OlympicGoldMedalCity
    Indicates that a city is the location where an Olympic Games took place in which a gold medal was awarded.
  • B. OlympicHostCity
    Indicates that a city has been officially selected to host and organize a particular edition of the Olympic Games.
  • C. hostCityPreviousOlympicsInCity
    Indicates that the city served as the host city for a previous edition of the Olympic Games held in that same city.
  • D. inauguralHostCity
    Indicates the city that first hosted a particular event, competition, or series.
  • E. lastHostCity
    Indicates that one entity is the most recent city to have hosted the event or activity associated with the other entity.
  • F. None of above. chosen

Provenance (5 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2872830819080fdfa816167d04c completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d74fdc1880819094a501602b64d8b6 completed April 9, 2026, 7:06 a.m.
PD Predicate disambiguation batch_69d4d1ef6e6c81908a8ee52e4d28127b completed April 7, 2026, 9:44 a.m.
PDg Predicate description generation batch_69d4d285812c8190ab910dc85c53eebf completed April 7, 2026, 9:46 a.m.
Created at: April 6, 2026, 11:33 a.m.