Triple

T13875446
Position Surface form Disambiguated ID Type / Status
Subject Kōtō E333569 entity
Predicate hasLandmark P105 FINISHED
Object Kiba Park
Kiba Park is a large public park in Tokyo known for its open green spaces, sports facilities, and cultural attractions such as the Museum of Contemporary Art Tokyo.
 E1076977 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: Kiba Park | Statement: [Kōtō, hasLandmark, Kiba Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kiba Park
Context triple: [Kōtō, hasLandmark, Kiba Park]
  • A. Kinshi Park
    Kinshi Park is a popular urban green space in Tokyo’s Kinshichō district, known for its cherry blossoms, sports facilities, and views of Tokyo Skytree.
  • B. Yamashita Park
    Yamashita Park is a famous seaside public park in Yokohama, Japan, known for its waterfront promenade, harbor views, and historic landmarks.
  • C. Seka Park
    Seka Park is a large coastal urban park and recreational area in İzmit, Turkey, known for its green spaces, walking paths, and cultural facilities along the Gulf of İzmit.
  • D. Shiba Park
    Shiba Park is a historic public park in Tokyo known for its views of Tokyo Tower, temples, and seasonal greenery.
  • E. Komaba Park
    Komaba Park is a public green space in Tokyo’s Meguro ward known for its tranquil gardens, historic residences, and seasonal cherry blossoms.
  • 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: Kiba Park
Triple: [Kōtō, hasLandmark, Kiba Park]
Generated description
Kiba Park is a large public park in Tokyo known for its open green spaces, sports facilities, and cultural attractions such as the Museum of Contemporary Art Tokyo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kiba Park
Target entity description: Kiba Park is a large public park in Tokyo known for its open green spaces, sports facilities, and cultural attractions such as the Museum of Contemporary Art Tokyo.
  • A. Kinshi Park
    Kinshi Park is a popular urban green space in Tokyo’s Kinshichō district, known for its cherry blossoms, sports facilities, and views of Tokyo Skytree.
  • B. Yamashita Park
    Yamashita Park is a famous seaside public park in Yokohama, Japan, known for its waterfront promenade, harbor views, and historic landmarks.
  • C. Seka Park
    Seka Park is a large coastal urban park and recreational area in İzmit, Turkey, known for its green spaces, walking paths, and cultural facilities along the Gulf of İzmit.
  • D. Shiba Park
    Shiba Park is a historic public park in Tokyo known for its views of Tokyo Tower, temples, and seasonal greenery.
  • E. Komaba Park
    Komaba Park is a public green space in Tokyo’s Meguro ward known for its tranquil gardens, historic residences, and seasonal cherry blossoms.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0be556708190bbcf0b3583f677e3 completed April 14, 2026, 9:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69fbc31c38e481909a86cda6c913fb8e completed May 6, 2026, 10:39 p.m.
NEDg Description generation batch_69fc7e2e49508190a6a3211c9008d053 completed May 7, 2026, 11:57 a.m.
NED2 Entity disambiguation (via description) batch_69fc7f56979c8190a549079a4ea5d516 completed May 7, 2026, 12:02 p.m.
Created at: April 9, 2026, 10:15 p.m.