Triple

T5152403
Position Surface form Disambiguated ID Type / Status
Subject Etajima E116226 entity
Predicate locatedNear P294 FINISHED
Object Kure
Kure is a Japanese port city in Hiroshima Prefecture known historically as a major naval base and shipbuilding center.
 E498542 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: Kure | Statement: [Etajima, locatedNear, Kure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kure
Context triple: [Etajima, locatedNear, Kure]
  • A. Toyokawa
    Toyokawa is a city in Aichi Prefecture, Japan, known for its historic Toyokawa Inari temple and manufacturing industries.
  • B. Yokosuka
    Yokosuka is a coastal city in Kanagawa Prefecture, Japan, known for its major naval base and strategic location at the mouth of Tokyo Bay.
  • C. Hanko
    Hanko is a coastal town in southern Finland known for its beaches, maritime heritage, and status as the country’s southernmost city.
  • D. Okayama
    Okayama is a major city in western Japan known for its historic Okayama Castle, the celebrated Korakuen Garden, and its role as a regional transportation and cultural hub.
  • E. Akkō
    Akkō is a historic port city in northern Israel, also known as Acre, renowned for its well-preserved Crusader and Ottoman architecture.
  • 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: Kure
Triple: [Etajima, locatedNear, Kure]
Generated description
Kure is a Japanese port city in Hiroshima Prefecture known historically as a major naval base and shipbuilding center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kure
Target entity description: Kure is a Japanese port city in Hiroshima Prefecture known historically as a major naval base and shipbuilding center.
  • A. Toyokawa
    Toyokawa is a city in Aichi Prefecture, Japan, known for its historic Toyokawa Inari temple and manufacturing industries.
  • B. Yokosuka
    Yokosuka is a coastal city in Kanagawa Prefecture, Japan, known for its major naval base and strategic location at the mouth of Tokyo Bay.
  • C. Hanko
    Hanko is a coastal town in southern Finland known for its beaches, maritime heritage, and status as the country’s southernmost city.
  • D. Okayama
    Okayama is a major city in western Japan known for its historic Okayama Castle, the celebrated Korakuen Garden, and its role as a regional transportation and cultural hub.
  • E. Akkō
    Akkō is a historic port city in northern Israel, also known as Acre, renowned for its well-preserved Crusader and Ottoman architecture.
  • 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_69bd445d94788190b72e2cc563120995 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd78daab708190a42734a14dddb2fc completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed0099afc8190badca81bd5efb8f6 completed March 21, 2026, 5:06 p.m.
NEDg Description generation batch_69bed3f4af288190beec97356b21f990 completed March 21, 2026, 5:23 p.m.
NED2 Entity disambiguation (via description) batch_69bed49625688190972acb1cb0c2a83b completed March 21, 2026, 5:25 p.m.
Created at: March 20, 2026, 1:44 p.m.