Triple

T3070149
Position Surface form Disambiguated ID Type / Status
Subject Chinatown (Yokohama) E63999 entity
Predicate near P350 FINISHED
Object Yamashita Park
Yamashita Park is a famous seaside public park in Yokohama, Japan, known for its waterfront promenade, harbor views, and historic landmarks.
E327891 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: Yamashita Park | Statement: [Chinatown (Yokohama), near, Yamashita Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yamashita Park
Context triple: [Chinatown (Yokohama), near, Yamashita Park]
  • A. 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.
  • B. Shukugawa Park
    Shukugawa Park is a scenic riverside park in Nishinomiya, Japan, renowned for its cherry blossom-lined paths and seasonal beauty.
  • C. Maruyama Park
    Maruyama Park is a famous public park in Kyoto, Japan, especially known for its cherry blossoms and traditional atmosphere.
  • D. Higashi Ayase Park
    Higashi Ayase Park is a public green space in Tokyo’s Adachi ward, known for its sports facilities, playgrounds, and walking paths.
  • E. Miyashita Park
    Miyashita Park is a redeveloped urban park and shopping complex in Shibuya that combines green space, sports facilities, and commercial areas atop a multi-story building.
  • 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: Yamashita Park
Triple: [Chinatown (Yokohama), near, Yamashita Park]
Generated description
Yamashita Park is a famous seaside public park in Yokohama, Japan, known for its waterfront promenade, harbor views, and historic landmarks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yamashita Park
Target entity description: Yamashita Park is a famous seaside public park in Yokohama, Japan, known for its waterfront promenade, harbor views, and historic landmarks.
  • A. 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.
  • B. Shukugawa Park
    Shukugawa Park is a scenic riverside park in Nishinomiya, Japan, renowned for its cherry blossom-lined paths and seasonal beauty.
  • C. Maruyama Park
    Maruyama Park is a famous public park in Kyoto, Japan, especially known for its cherry blossoms and traditional atmosphere.
  • D. Higashi Ayase Park
    Higashi Ayase Park is a public green space in Tokyo’s Adachi ward, known for its sports facilities, playgrounds, and walking paths.
  • E. Miyashita Park
    Miyashita Park is a redeveloped urban park and shopping complex in Shibuya that combines green space, sports facilities, and commercial areas atop a multi-story building.
  • 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_69ad857a8aec8190bfdfd9c14554ac5a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada100f0b8819095da366fdc6803a8 completed March 8, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20354031c819081a0852fe7e181ab completed March 12, 2026, 12:05 a.m.
NEDg Description generation batch_69b2044299f48190810c0fe228f6a22e completed March 12, 2026, 12:09 a.m.
NED2 Entity disambiguation (via description) batch_69b204e32cb88190a0901918f62d41d2 completed March 12, 2026, 12:12 a.m.
Created at: March 8, 2026, 3:02 p.m.