Triple

T10352263
Position Surface form Disambiguated ID Type / Status
Subject Honshu coast E243907 entity
Predicate hasMajorPortCity P2994 FINISHED
Object Shimizu
Shimizu is a prominent Japanese port city known for its busy harbor and scenic views of Mount Fuji.
 E988565 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: Shimizu | Statement: [Honshu coast, hasMajorPortCity, Shimizu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shimizu
Context triple: [Honshu coast, hasMajorPortCity, Shimizu]
  • A. Wakamatsu
    Wakamatsu is a ward in the city of Kitakyushu, Japan, known historically as a port and industrial area on the northern coast of Kyushu.
  • B. Isehara
    Isehara is a city in Kanagawa Prefecture, Japan, known as a residential and industrial area with access to nearby natural attractions such as the Tanzawa Mountains.
  • C. Fujinomiya
    Fujinomiya is a city in Shizuoka Prefecture, Japan, known as a major gateway to Mount Fuji and for its scenic views of the iconic volcano.
  • D. Murayama
    Murayama is a Japanese surname borne by various notable individuals across fields such as politics, science, and the arts.
  • E. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • 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: Shimizu
Triple: [Honshu coast, hasMajorPortCity, Shimizu]
Generated description
Shimizu is a prominent Japanese port city known for its busy harbor and scenic views of Mount Fuji.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shimizu
Target entity description: Shimizu is a prominent Japanese port city known for its busy harbor and scenic views of Mount Fuji.
  • A. Wakamatsu
    Wakamatsu is a ward in the city of Kitakyushu, Japan, known historically as a port and industrial area on the northern coast of Kyushu.
  • B. Isehara
    Isehara is a city in Kanagawa Prefecture, Japan, known as a residential and industrial area with access to nearby natural attractions such as the Tanzawa Mountains.
  • C. Fujinomiya
    Fujinomiya is a city in Shizuoka Prefecture, Japan, known as a major gateway to Mount Fuji and for its scenic views of the iconic volcano.
  • D. Murayama
    Murayama is a Japanese surname borne by various notable individuals across fields such as politics, science, and the arts.
  • E. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9489f9481908fc1c818e81c1cc2 completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6554d0b0081909cc031ff06b796c0 completed May 2, 2026, 7:49 p.m.
NEDg Description generation batch_69f6566dccc0819085e059c7b0288f6c completed May 2, 2026, 7:54 p.m.
NED2 Entity disambiguation (via description) batch_69f657aec8fc8190b3b08ccb95595958 completed May 2, 2026, 7:59 p.m.
Created at: April 6, 2026, 11:57 a.m.