Triple

T20037825
Position Surface form Disambiguated ID Type / Status
Subject Yoshii River E497322 entity
Predicate flowsThrough P225 FINISHED
Object Kume
Kume is a locality in Japan situated along the Yoshii River, known for its riverside landscape and regional cultural character.
 E1406886 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: Kume | Statement: [Yoshii River, flowsThrough, Kume]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kume
Context triple: [Yoshii River, flowsThrough, Kume]
  • A. Kameari
    Kameari is a neighborhood in Tokyo best known as the long-running setting of the manga and anime series "Kochira Katsushika-ku Kameari Kōen-mae Hashutsujo" ("Kochikame").
  • B. Koga
    Koga is a coastal city in Japan known as a residential suburb of Fukuoka with convenient access to the greater Fukuoka metropolitan area.
  • C. Mikuma
    Mikuma was a Japanese Mogami-class heavy cruiser of the Imperial Japanese Navy that served in World War II and was sunk during the Battle of Midway.
  • D. Kambe
    Kambe is one of the Mijikenda sub-groups of the coastal Bantu peoples of Kenya, known for their distinct language and cultural traditions.
  • E. Kumonga
    Kumonga is a giant spider kaiju from the Godzilla franchise, known for trapping enemies in webbing and appearing in several classic Toho monster films.
  • 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: Kume
Triple: [Yoshii River, flowsThrough, Kume]
Generated description
Kume is a locality in Japan situated along the Yoshii River, known for its riverside landscape and regional cultural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kume
Target entity description: Kume is a locality in Japan situated along the Yoshii River, known for its riverside landscape and regional cultural character.
  • A. Kameari
    Kameari is a neighborhood in Tokyo best known as the long-running setting of the manga and anime series "Kochira Katsushika-ku Kameari Kōen-mae Hashutsujo" ("Kochikame").
  • B. Koga
    Koga is a coastal city in Japan known as a residential suburb of Fukuoka with convenient access to the greater Fukuoka metropolitan area.
  • C. Mikuma
    Mikuma was a Japanese Mogami-class heavy cruiser of the Imperial Japanese Navy that served in World War II and was sunk during the Battle of Midway.
  • D. Kambe
    Kambe is one of the Mijikenda sub-groups of the coastal Bantu peoples of Kenya, known for their distinct language and cultural traditions.
  • E. Kumonga
    Kumonga is a giant spider kaiju from the Godzilla franchise, known for trapping enemies in webbing and appearing in several classic Toho monster films.
  • 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662e935ac8190900cdb4f0cfde505 completed April 20, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a080e39542c8190b94ae9d8212026a8 completed May 16, 2026, 6:27 a.m.
NEDg Description generation batch_6a080ec9c56481908b69834b5a1ae105 completed May 16, 2026, 6:29 a.m.
NED2 Entity disambiguation (via description) batch_6a080f6e218c8190b4c7b0d5de9f984c completed May 16, 2026, 6:32 a.m.
Created at: April 11, 2026, 3:36 p.m.