Triple

T11021572
Position Surface form Disambiguated ID Type / Status
Subject Kanazawa Ward, Yokohama E260501 entity
Predicate hasAttraction P105 FINISHED
Object Nojima Park
Nojima Park is a seaside public park in Yokohama known for its coastal views, green spaces, and recreational facilities.
E902375 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: Nojima Park | Statement: [Kanazawa Ward, Yokohama, hasAttraction, Nojima Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nojima Park
Context triple: [Kanazawa Ward, Yokohama, hasAttraction, Nojima Park]
  • A. Kitanomaru Park
    Kitanomaru Park is a public park in central Tokyo known for its historic grounds, museums, and tranquil green spaces adjacent to the Tokyo Imperial Palace.
  • B. Minooka Park
    Minooka Park is a popular county park in Waukesha, Wisconsin, known for its wooded trails, swimming beach, and year-round outdoor recreation.
  • C. Miyanosawa Park
    Miyanosawa Park is a public recreational green space located in the Miyanosawa area of Nishi-ku, Sapporo, Japan.
  • D. Ohori Park
    Ohori Park is a large, scenic public park in Fukuoka City, Japan, known for its central pond, walking paths, and traditional Japanese garden.
  • E. Okubo Park
    Okubo Park is a public urban park located in the Ōkubo district of Shinjuku, Tokyo, known as a local green space amid the dense cityscape.
  • 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: Nojima Park
Triple: [Kanazawa Ward, Yokohama, hasAttraction, Nojima Park]
Generated description
Nojima Park is a seaside public park in Yokohama known for its coastal views, green spaces, and recreational facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nojima Park
Target entity description: Nojima Park is a seaside public park in Yokohama known for its coastal views, green spaces, and recreational facilities.
  • A. Kitanomaru Park
    Kitanomaru Park is a public park in central Tokyo known for its historic grounds, museums, and tranquil green spaces adjacent to the Tokyo Imperial Palace.
  • B. Minooka Park
    Minooka Park is a popular county park in Waukesha, Wisconsin, known for its wooded trails, swimming beach, and year-round outdoor recreation.
  • C. Miyanosawa Park
    Miyanosawa Park is a public recreational green space located in the Miyanosawa area of Nishi-ku, Sapporo, Japan.
  • D. Ohori Park
    Ohori Park is a large, scenic public park in Fukuoka City, Japan, known for its central pond, walking paths, and traditional Japanese garden.
  • E. Okubo Park
    Okubo Park is a public urban park located in the Ōkubo district of Shinjuku, Tokyo, known as a local green space amid the dense cityscape.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797bb6eec81909d8004af31f307f7 completed April 9, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c828b7848190be34a6ba1550d3f1 completed April 18, 2026, 6:06 p.m.
NEDg Description generation batch_69e3ca36528081908dd0db5063e90b3b completed April 18, 2026, 6:15 p.m.
NED2 Entity disambiguation (via description) batch_69e3cf08cf108190966b4abd0514a6ea completed April 18, 2026, 6:35 p.m.
Created at: April 8, 2026, 9:25 p.m.