Triple

T1302022
Position Surface form Disambiguated ID Type / Status
Subject Incheon E27787 entity
Predicate majorAirportFor P16381 FINISHED
Object Seoul metropolitan area E166134 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 metropolitan area | Statement: [Incheon, majorAirportFor, Seoul metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seoul metropolitan area
Context triple: [Incheon, majorAirportFor, Seoul metropolitan area]
  • A. Seoul Capital Area chosen
    The Seoul Capital Area is South Korea’s largest metropolitan region, encompassing Seoul, Incheon, and surrounding Gyeonggi Province, and serving as the country’s political, economic, and cultural hub.
  • B. Seoul
    Seoul is the capital and largest metropolis of South Korea, known as a major global center for technology, culture, and finance.
  • C. 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.
  • D. Daegu
    Daegu is a major metropolitan city in southeastern South Korea known for its textile industry, electronics manufacturing, and cultural festivals.
  • E. Daejeon
    Daejeon is a major city in central South Korea known as a hub for science, technology, and research institutions.
  • 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: majorAirportFor
Context triple: [Incheon, majorAirportFor, Seoul metropolitan area]
  • A. hasMajorAirport
    Indicates that a location possesses at least one significant airport that serves as a primary hub for air travel in that area.
  • B. largestAirport
    Indicates that one airport is the largest (typically by area, traffic, or capacity) among a specified set or within a given region.
  • C. hubAirportCity
    Indicates that a city serves as a primary hub location for an airport or airline.
  • D. airportServesAs chosen
    Indicates that an airport functions in a particular role or capacity (such as primary, secondary, or hub) for a specified area, organization, or service.
  • E. busiestAirportIn
    Indicates that the subject location contains or is associated with the airport that has the highest level of traffic or activity within that location.
  • 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c115ba64819081c55fa6807e19ef completed March 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1c93bbe8819092dab6a3ed616998 completed March 8, 2026, 6:52 a.m.
PD Predicate disambiguation batch_69a4bee8544c8190874efd9bae9bccf9 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:51 p.m.