Triple

T1337162
Position Surface form Disambiguated ID Type / Status
Subject Gwangju E28778 entity
Predicate hanjaName P27905 FINISHED
Object 光州 E28778 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: 光州 | Statement: [Gwangju, hanjaName, 光州]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 光州
Context triple: [Gwangju, hanjaName, 光州]
  • A. Gwangju chosen
    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.
  • B. Daegu
    Daegu is a major metropolitan city in southeastern South Korea known for its textile industry, electronics manufacturing, and cultural festivals.
  • C. Daejeon
    Daejeon is a major city in central South Korea known as a hub for science, technology, and research institutions.
  • D. Pyeongtaek
    Pyeongtaek is a South Korean city in Gyeonggi Province known for its major U.S. and UN military presence, including large bases such as Camp Humphreys.
  • E. Ulsan
    Ulsan is a major industrial city in southeastern South Korea, known for its large automobile, shipbuilding, and petrochemical complexes.
  • 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: hanjaName
Context triple: [Gwangju, hanjaName, 光州]
  • A. kanji
    Indicates that an entity is written in, represented by, or associated with a specific kanji character or set of kanji characters.
  • B. nameInKorean
    Indicates that an entity’s name is expressed in the Korean language.
  • C. nameInJapaneseKana
    Indicates that an entity’s name is written or represented using Japanese kana characters.
  • D. eraNameInJapanese
    Indicates the Japanese-language name used for a specific historical or calendar era.
  • E. usesKanjiFrom
    Indicates that one writing system, word, or text incorporates or is composed of kanji characters originating from another specified source.
  • 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_69a498561a508190a3e1bc137c2b866a completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1edda1c81909a1149b254b0d57e completed March 1, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc62e4c788190824df2a9b81692d7 completed March 8, 2026, 12:43 a.m.
PD Predicate disambiguation batch_69a4bef174708190a07bbc697fe19a2d completed March 1, 2026, 10:34 p.m.
PDg Predicate description generation batch_69a4c1bf31988190a659f48fe018f4bc completed March 1, 2026, 10:46 p.m.
Created at: March 1, 2026, 7:55 p.m.