Triple

T9507524
Position Surface form Disambiguated ID Type / Status
Subject Yangsansi E229305 entity
Predicate hasNationalCapitalNearby P33891 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: [Yangsansi, hasNationalCapitalNearby, Seoul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seoul
Context triple: [Yangsansi, hasNationalCapitalNearby, 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: hasNationalCapitalNearby
Context triple: [Yangsansi, hasNationalCapitalNearby, Seoul]
  • A. regionCapitalNearby
    Indicates that a capital city of a region is located close to the referenced place or entity.
  • B. countryCapitalNearby chosen
    Indicates that a country’s capital city is geographically close to a specified location or entity.
  • C. hasNearbyMajorCityCountry
    Indicates that an entity has a nearby major city located in the specified country.
  • D. hasCapitalCityWithin
    Indicates that a specified capital city is geographically located within the boundaries of a given region or country.
  • E. capitalOfProvinceNearby
    Indicates that a city serves as the capital of a province that is geographically close to a specified reference location or area.
  • 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_69ca847611c48190a28c028644198c75 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98543b1881908b537abdc1d2f9c0 completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d178eb63e08190b069faaa0c5dbcb2 completed April 4, 2026, 8:47 p.m.
PD Predicate disambiguation batch_69cca567ca448190bf4bcce8ce7dd54f completed April 1, 2026, 4:56 a.m.
Created at: March 30, 2026, 7:57 p.m.