Triple

T224201
Position Surface form Disambiguated ID Type / Status
Subject Busan E4279 entity
Predicate shortNativeName P657 FINISHED
Object 부산 E4279 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: 부산 | Statement: [Busan, shortNativeName, 부산]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 부산
Context triple: [Busan, shortNativeName, 부산]
  • A. Busan chosen
    Busan is South Korea’s second-largest city and a major international port known for its bustling harbor, beaches, and coastal scenery.
  • 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. Daegu
    Daegu is a major metropolitan city in southeastern South Korea known for its textile industry, electronics manufacturing, and cultural festivals.
  • D. Ulsan
    Ulsan is a major industrial city in southeastern South Korea, known for its large automobile, shipbuilding, and petrochemical complexes.
  • 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: shortNativeName
Context triple: [Busan, shortNativeName, 부산]
  • A. nativeLabel chosen
    Indicates the label or name of an entity expressed in its own native or original language.
  • B. meaningOfNativeName
    Indicates that one entity specifies the semantic meaning or translation of another entity’s native-language name.
  • C. hasEnglishName
    Indicates that an entity is associated with a name expressed in the English language.
  • D. eraNameInJapanese
    Indicates the Japanese-language name used for a specific historical or calendar era.
  • E. hasOfficialNameInPortuguese
    Indicates that an entity has an official name expressed in the Portuguese language.
  • 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_69a2573508588190b522c2476d91acfe completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25dec53ac8190912f3d79576131fa completed Feb. 28, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69a36477882481909509048bfc98657f completed Feb. 28, 2026, 9:56 p.m.
PD Predicate disambiguation batch_69a25b5739dc8190bad8bfa330ce0499 completed Feb. 28, 2026, 3:04 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.