Triple

T4203302
Position Surface form Disambiguated ID Type / Status
Subject Kagoshima Airport E86120 entity
Predicate internationalDestinationsInclude P54353 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: [Kagoshima Airport, internationalDestinationsInclude, Seoul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seoul
Context triple: [Kagoshima Airport, internationalDestinationsInclude, 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: internationalDestinationsInclude
Context triple: [Kagoshima Airport, internationalDestinationsInclude, Seoul]
  • A. isInternational
    Indicates that something has a connection to, involves, or extends across more than one country.
  • B. oftenTravelsTo
    Indicates that one entity frequently goes to or visits another location or entity.
  • C. countryIncludes
    Indicates that a country geographically or administratively contains or encompasses a specified region, territory, or subdivision.
  • D. homeCountryLeagueDestination
    Indicates that an entity’s destination is the league of its home country, i.e., it is moving or assigned to compete in the primary league of its own nation.
  • E. travelsOn
    Indicates that an entity moves or journeys using a particular route, path, or mode of transportation.
  • 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_69aed93b89f48190a31f6d57c760e42f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0380d470819091ffdb1161437266 completed March 9, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c6f3796c8190bac5529032419ecc completed March 14, 2026, 8:37 p.m.
PD Predicate disambiguation batch_69af01959c4881909eb1adcb3bdadbe6 completed March 9, 2026, 5:21 p.m.
PDg Predicate description generation batch_69af02e4e2308190b527e3b78eb8fa71 completed March 9, 2026, 5:27 p.m.
Created at: March 9, 2026, 3:49 p.m.