Triple

T5507087
Position Surface form Disambiguated ID Type / Status
Subject Nakdong River E144467 entity
Predicate flowsThrough P225 FINISHED
Object Gumi
Gumi is an industrial city in South Korea’s North Gyeongsang Province, known as a major electronics manufacturing 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: [Nakdong River, flowsThrough, Gumi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gumi
Context triple: [Nakdong River, flowsThrough, Gumi]
  • A. Emori
    Emori is a Japanese given name that can be used for individuals of any gender.
  • B. 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.
  • C. Mitaka
    Mitaka is a city in western Tokyo, Japan, known for its residential neighborhoods, parks, and the Ghibli Museum.
  • D. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • E. Asago
    Asago is a city in northern Hyōgo Prefecture, Japan, known for its mountainous scenery, historic castle ruins, and hot spring resorts.
  • 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: [Nakdong River, flowsThrough, Gumi]
Generated description
Gumi is an industrial city in South Korea’s North Gyeongsang Province, known as a major electronics manufacturing 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’s North Gyeongsang Province, known as a major electronics manufacturing hub.
  • A. Emori
    Emori is a Japanese given name that can be used for individuals of any gender.
  • B. 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.
  • C. Mitaka
    Mitaka is a city in western Tokyo, Japan, known for its residential neighborhoods, parks, and the Ghibli Museum.
  • D. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • E. Asago
    Asago is a city in northern Hyōgo Prefecture, Japan, known for its mountainous scenery, historic castle ruins, and hot spring resorts.
  • 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_69c008f6b5048190a09064116062cf69 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f495c588190b0cfe5bfb3d2c221 completed March 22, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027bc39208190baa01feadb75d3c6 completed March 22, 2026, 5:32 p.m.
NEDg Description generation batch_69c033db6ebc8190ab35c707b846426d completed March 22, 2026, 6:24 p.m.
NED2 Entity disambiguation (via description) batch_69c0345cd5b88190855efd8c1bb94693 completed March 22, 2026, 6:26 p.m.
Created at: March 22, 2026, 3:32 p.m.