Triple

T6688077
Position Surface form Disambiguated ID Type / Status
Subject Daejeon Station E152149 entity
Predicate connectsToCity P4245 FINISHED
Object Gumi
Gumi is an industrial city in South Korea known for its major electronics manufacturing complexes and role as a regional transportation hub.
 E531414 NE FINISHED

How this triple was built (4 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: Gumi | Statement: [Daejeon Station, connectsToCity, Gumi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gumi
Context triple: [Daejeon Station, connectsToCity, Gumi]
  • A. Gumi
    Gumi is an industrial city in South Korea’s North Gyeongsang Province, known as a major electronics manufacturing hub.
  • B. Emori
    Emori is a Japanese given name that can be used for individuals of any gender.
  • C. Oimachi
    Oimachi is a commercial and residential district in Tokyo known for its busy train hub, shopping streets, and convenient access to central Shinagawa and other parts of the city.
  • D. Mitaka
    Mitaka is a city in western Tokyo, Japan, known for its residential neighborhoods, parks, and the Ghibli Museum.
  • E. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gumi
Triple: [Daejeon Station, connectsToCity, Gumi]
Generated description
Gumi is an industrial city in South Korea known for its major electronics manufacturing complexes and role as a regional transportation hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gumi
Target entity description: Gumi is an industrial city in South Korea known for its major electronics manufacturing complexes and role as a regional transportation hub.
  • A. Gumi chosen
    Gumi is an industrial city in South Korea’s North Gyeongsang Province, known as a major electronics manufacturing hub.
  • B. Emori
    Emori is a Japanese given name that can be used for individuals of any gender.
  • C. Oimachi
    Oimachi is a commercial and residential district in Tokyo known for its busy train hub, shopping streets, and convenient access to central Shinagawa and other parts of the city.
  • D. Mitaka
    Mitaka is a city in western Tokyo, Japan, known for its residential neighborhoods, parks, and the Ghibli Museum.
  • E. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • F. None of above.

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_69c687f9977c819097e7f5ada4fe522e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b14feb28819097bc157df8a2f96e completed March 27, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7007ad59c8190a752d9b1152c3435 completed March 27, 2026, 10:11 p.m.
NEDg Description generation batch_69c70386196c81909d46894f783ef87a completed March 27, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_69c7045cda0481908982c7c7e8dc11e5 completed March 27, 2026, 10:27 p.m.
Created at: March 27, 2026, 2:04 p.m.