Triple

T21382976
Position Surface form Disambiguated ID Type / Status
Subject Gifu Prefecture E527409 entity
Predicate hasCity P316 FINISHED
Object Kaizu
Kaizu is a small city in southern Gifu Prefecture, Japan, known for its river landscapes near the confluence of the Kiso, Nagara, and Ibi rivers.
 E1481360 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: Kaizu | Statement: [Gifu Prefecture, hasCity, Kaizu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kaizu
Context triple: [Gifu Prefecture, hasCity, Kaizu]
  • A. Kitadake
    Kitadake is one of the principal peaks of the active Sakurajima volcanic complex in Kagoshima Prefecture, Japan.
  • B. Kitahama
    Kitahama is a central business and financial district in Osaka, Japan, known for its historic trading houses, modern office towers, and riverside location.
  • C. Kiga
    Kiga is a Bantu language spoken primarily by the Bakiga people of southwestern Uganda, near the Great Lakes region of East Africa.
  • D. Kasugo
    Kasugo is a specific class or rank within the Philippine Order of Sikatuna, a national honor conferred for distinguished diplomatic service.
  • E. Asagumo
    Asagumo was a Japanese destroyer of the Imperial Japanese Navy that saw action in World War II, including participation in major Pacific naval engagements.
  • 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: Kaizu
Triple: [Gifu Prefecture, hasCity, Kaizu]
Generated description
Kaizu is a small city in southern Gifu Prefecture, Japan, known for its river landscapes near the confluence of the Kiso, Nagara, and Ibi rivers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kaizu
Target entity description: Kaizu is a small city in southern Gifu Prefecture, Japan, known for its river landscapes near the confluence of the Kiso, Nagara, and Ibi rivers.
  • A. Kitadake
    Kitadake is one of the principal peaks of the active Sakurajima volcanic complex in Kagoshima Prefecture, Japan.
  • B. Kitahama
    Kitahama is a central business and financial district in Osaka, Japan, known for its historic trading houses, modern office towers, and riverside location.
  • C. Kiga
    Kiga is a Bantu language spoken primarily by the Bakiga people of southwestern Uganda, near the Great Lakes region of East Africa.
  • D. Kasugo
    Kasugo is a specific class or rank within the Philippine Order of Sikatuna, a national honor conferred for distinguished diplomatic service.
  • E. Asagumo
    Asagumo was a Japanese destroyer of the Imperial Japanese Navy that saw action in World War II, including participation in major Pacific naval engagements.
  • 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_69e0b51f363c8190944000ab5523b02b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0f05278819096c511035ffc9777 completed April 22, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09b426553881909477ea3902819672 completed May 17, 2026, 12:27 p.m.
NEDg Description generation batch_6a09b5e6d1ac8190aeec88859d17d257 completed May 17, 2026, 12:34 p.m.
NED2 Entity disambiguation (via description) batch_6a09b699fef081909797a5fc50814cb9 completed May 17, 2026, 12:37 p.m.
Created at: April 16, 2026, 5:12 p.m.