Triple

T12355079
Position Surface form Disambiguated ID Type / Status
Subject 山下 E294589 entity
Predicate hasNotableBearer P458 FINISHED
Object 山下公園
山下公園は、横浜港を望む海沿いの景観やバラ園などで知られる横浜市中区の代表的な都市公園です。
E979877 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: 山下公園 | Statement: [山下, hasNotableBearer, 山下公園]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 山下公園
Context triple: [山下, hasNotableBearer, 山下公園]
  • A. Tsurumai Park
    Tsurumai Park is a historic public park in Nagoya, Japan, known for its cherry blossoms, landscaped grounds, and cultural facilities.
  • B. Shukugawa Park
    Shukugawa Park is a scenic riverside park in Nishinomiya, Japan, renowned for its cherry blossom-lined paths and seasonal beauty.
  • C. Sakura-no-Yama Park
    Sakura-no-Yama Park is a popular scenic park near Narita International Airport known for its cherry blossoms and close-up views of airplanes taking off and landing.
  • D. Miyanosawa Park
    Miyanosawa Park is a public recreational green space located in the Miyanosawa area of Nishi-ku, Sapporo, Japan.
  • E. Kannonzaki Park
    Kannonzaki Park is a coastal public park in Yokosuka, Japan, known for its scenic seaside views, walking trails, and historic lighthouse.
  • 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: 山下公園
Triple: [山下, hasNotableBearer, 山下公園]
Generated description
山下公園は、横浜港を望む海沿いの景観やバラ園などで知られる横浜市中区の代表的な都市公園です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 山下公園
Target entity description: 山下公園は、横浜港を望む海沿いの景観やバラ園などで知られる横浜市中区の代表的な都市公園です。
  • A. Tsurumai Park
    Tsurumai Park is a historic public park in Nagoya, Japan, known for its cherry blossoms, landscaped grounds, and cultural facilities.
  • B. Shukugawa Park
    Shukugawa Park is a scenic riverside park in Nishinomiya, Japan, renowned for its cherry blossom-lined paths and seasonal beauty.
  • C. Sakura-no-Yama Park
    Sakura-no-Yama Park is a popular scenic park near Narita International Airport known for its cherry blossoms and close-up views of airplanes taking off and landing.
  • D. Miyanosawa Park
    Miyanosawa Park is a public recreational green space located in the Miyanosawa area of Nishi-ku, Sapporo, Japan.
  • E. Kannonzaki Park
    Kannonzaki Park is a coastal public park in Yokosuka, Japan, known for its scenic seaside views, walking trails, and historic lighthouse.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f8bc60c8190b0ceb84093e70db4 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ab4cdec8190849604ef2ec498ba completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62be420308190bcb00d8b37b09ea2 completed May 2, 2026, 4:52 p.m.
NED2 Entity disambiguation (via description) batch_69f63050f5d48190881688d12c4c1819 completed May 2, 2026, 5:11 p.m.
Created at: April 8, 2026, 9:54 p.m.