Triple

T16537231
Position Surface form Disambiguated ID Type / Status
Subject Suginami E401722 entity
Predicate hasPark P105 FINISHED
Object Ogikubo Park
Ogikubo Park is a public green space in Tokyo’s Suginami ward, known for its playgrounds, walking paths, and seasonal cherry blossoms.
E1229182 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: Ogikubo Park | Statement: [Suginami, hasPark, Ogikubo Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ogikubo Park
Context triple: [Suginami, hasPark, Ogikubo Park]
  • A. Ougimachi Park
    Ougimachi Park is a public urban green space in Osaka known for its recreational facilities, playgrounds, and seasonal events.
  • B. 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.
  • C. Nogeyama Park
    Nogeyama Park is a public green space in Yokohama known for its scenic views, seasonal flowers, and proximity to the Nogeyama Zoo.
  • D. Shiroyama Park
    Shiroyama Park is a historic hillside park in Kagoshima, Japan, known for its panoramic views of the city and Sakurajima volcano and its role in the Satsuma Rebellion.
  • E. Yamashita Park
    Yamashita Park is a famous seaside public park in Yokohama, Japan, known for its waterfront promenade, harbor views, and historic landmarks.
  • 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: Ogikubo Park
Triple: [Suginami, hasPark, Ogikubo Park]
Generated description
Ogikubo Park is a public green space in Tokyo’s Suginami ward, known for its playgrounds, walking paths, and seasonal cherry blossoms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ogikubo Park
Target entity description: Ogikubo Park is a public green space in Tokyo’s Suginami ward, known for its playgrounds, walking paths, and seasonal cherry blossoms.
  • A. Ougimachi Park
    Ougimachi Park is a public urban green space in Osaka known for its recreational facilities, playgrounds, and seasonal events.
  • B. 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.
  • C. Nogeyama Park
    Nogeyama Park is a public green space in Yokohama known for its scenic views, seasonal flowers, and proximity to the Nogeyama Zoo.
  • D. Shiroyama Park
    Shiroyama Park is a historic hillside park in Kagoshima, Japan, known for its panoramic views of the city and Sakurajima volcano and its role in the Satsuma Rebellion.
  • E. Yamashita Park
    Yamashita Park is a famous seaside public park in Yokohama, Japan, known for its waterfront promenade, harbor views, and historic landmarks.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34559ca948190a9eb810b9b3be079 completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0091891c5081908f37598a17417c94 completed May 10, 2026, 2:09 p.m.
NEDg Description generation batch_6a00926f74548190b9719afb5eb10a14 completed May 10, 2026, 2:13 p.m.
NED2 Entity disambiguation (via description) batch_6a0092fabb3c819092193bf5d8b93616 completed May 10, 2026, 2:15 p.m.
Created at: April 10, 2026, 5:15 a.m.