Triple

T6061123
Position Surface form Disambiguated ID Type / Status
Subject Seoul Olympic Stadium E135033 entity
Predicate cityForOlympics P34557 FINISHED
Object Seoul E19209 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: Seoul | Statement: [Seoul Olympic Stadium, cityForOlympics, Seoul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seoul
Context triple: [Seoul Olympic Stadium, cityForOlympics, Seoul]
  • A. Seoul chosen
    Seoul is the capital and largest metropolis of South Korea, known as a major global center for technology, culture, and finance.
  • B. Incheon
    Incheon is a major port city in northwestern South Korea, known for its international airport and role as a key transportation and economic hub.
  • C. Daejeon
    Daejeon is a major city in central South Korea known as a hub for science, technology, and research institutions.
  • D. Daegu
    Daegu is a major metropolitan city in southeastern South Korea known for its textile industry, electronics manufacturing, and cultural festivals.
  • E. Gwangju
    Gwangju is a major metropolitan city in southwestern South Korea known for its rich cultural heritage and pivotal role in the country’s pro-democracy movement.
  • 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: cityForOlympics
Context triple: [Seoul Olympic Stadium, cityForOlympics, Seoul]
  • A. OlympicGoldMedalCity
    Indicates that a city is the location where an Olympic Games took place in which a gold medal was awarded.
  • B. OlympicHostCity chosen
    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. olympicHostCountry
    Indicates that a country served as the official host nation for a particular edition of the Olympic Games.
  • E. olympicEventsLocation
    Indicates the location where specific Olympic events are held or take place.
  • F. None of above.

Provenance (4 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_69c00878d06881909ee78e88913bf890 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0571fcecc8190a68e0d0668bbbfa7 completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1414ea324819087dc9267938efb5c completed March 23, 2026, 1:34 p.m.
PD Predicate disambiguation batch_69c049f031408190b08b2766237c5dd0 completed March 22, 2026, 7:58 p.m.
Created at: March 22, 2026, 4:10 p.m.