Triple

T7369317
Position Surface form Disambiguated ID Type / Status
Subject Hodori E169953 entity
Predicate sportingEventCity P21366 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: [Hodori, sportingEventCity, Seoul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seoul
Context triple: [Hodori, sportingEventCity, 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: sportingEventCity
Context triple: [Hodori, sportingEventCity, Seoul]
  • A. sponsorCity
    Indicates that an entity provides sponsorship or financial support to a particular city.
  • B. cityOfVenue
    Indicates the city in which a given venue is located.
  • C. stadiumCity
    Indicates that a stadium is located in or associated with a particular city.
  • D. locationOfCompetition chosen
    Indicates the place or venue where a competition or contest takes or took place.
  • 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.

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_69c68a5ade988190885b7175f63b7534 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1810668819094aec4b237d08068 completed March 27, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69cde6789ec081909b051b8ce1bde35d completed April 2, 2026, 3:46 a.m.
PD Predicate disambiguation batch_69c6f02ee3e08190a7a00c981129b22c completed March 27, 2026, 9:01 p.m.
Created at: March 27, 2026, 3:07 p.m.