Triple

T16092312
Position Surface form Disambiguated ID Type / Status
Subject Dangjin E390386 entity
Predicate McCuneReischauer P78997 FINISHED
Object Tangjin-si E390386 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: Tangjin-si | Statement: [Dangjin, McCuneReischauer, Tangjin-si]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tangjin-si
Context triple: [Dangjin, McCuneReischauer, Tangjin-si]
  • A. Dangjin chosen
    Dangjin is a coastal city in South Chungcheong Province, South Korea, known for its heavy industry, steel production, and port facilities on the Yellow Sea.
  • B. Kŏje-si
    Kŏje-si is the McCune–Reischauer romanization of Geoje, a city in South Gyeongsang Province, South Korea, known for its shipbuilding industry and scenic coastal landscapes.
  • C. Tong-gu
    Tong-gu is the former romanized name for Dong-gu, a central district of Busan, South Korea.
  • D. Jincheon
    Jincheon is a county in North Chungcheong Province, South Korea, known for its agricultural production and growing role as a logistics and industrial hub.
  • E. Yuchang
    Yuchang is a Chinese actor and singer best known for his roles in popular youth and coming-of-age films and television dramas.
  • 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: McCuneReischauer
Context triple: [Dangjin, McCuneReischauer, Tangjin-si]
  • A. nameInMcCuneReischauer chosen
    Indicates that an entity’s name is represented using the McCune–Reischauer romanization system.
  • B. usesKatakanaFor
    Indicates that one entity is written or represented using katakana script in relation to another entity.
  • C. nameInJapaneseKana
    Indicates that an entity’s name is written or represented using Japanese kana characters.
  • D. usesKanjiFrom
    Indicates that one writing system, word, or text incorporates or is composed of kanji characters originating from another specified source.
  • E. kanji
    Indicates that an entity is written in, represented by, or associated with a specific kanji character or set of kanji characters.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff63edb0819092cbb671967bbdcd completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69fffeed4e008190b1e8d924b9dc9d37 completed May 10, 2026, 3:43 a.m.
PD Predicate disambiguation batch_69e182804208819087f35307cd6e4103 completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 4:59 a.m.