Triple

T15653370
Position Surface form Disambiguated ID Type / Status
Subject Fuji-Q Highland E376367 entity
Predicate notableAttraction P5121 FINISHED
Object Dododonpa
Dododonpa is a high-speed roller coaster in Japan renowned for its explosive acceleration and intense ride experience.
E1169566 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: Dododonpa | Statement: [Fuji-Q Highland, notableAttraction, Dododonpa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dododonpa
Context triple: [Fuji-Q Highland, notableAttraction, Dododonpa]
  • A. Gumbat
    Gumbat is a town and administrative unit located in the Kohat District of Khyber Pakhtunkhwa province in Pakistan.
  • B. Cohade
    Cohade is a small French commune located in the Haute-Loire department in south-central France.
  • C. Nido
    Nido is the given name of Nido R. Qubein, a business leader, motivational speaker, and president of High Point University.
  • D. Tapuamu
    Tapuamu is the principal village and administrative center on the island of Taha'a in French Polynesia.
  • E. Pichu Pichu
    Pichu Pichu is a large, eroded volcanic massif in southern Peru, known for its multiple peaks and cultural significance near the city of Arequipa.
  • 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: Dododonpa
Triple: [Fuji-Q Highland, notableAttraction, Dododonpa]
Generated description
Dododonpa is a high-speed roller coaster in Japan renowned for its explosive acceleration and intense ride experience.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dododonpa
Target entity description: Dododonpa is a high-speed roller coaster in Japan renowned for its explosive acceleration and intense ride experience.
  • A. Gumbat
    Gumbat is a town and administrative unit located in the Kohat District of Khyber Pakhtunkhwa province in Pakistan.
  • B. Cohade
    Cohade is a small French commune located in the Haute-Loire department in south-central France.
  • C. Nido
    Nido is the given name of Nido R. Qubein, a business leader, motivational speaker, and president of High Point University.
  • D. Tapuamu
    Tapuamu is the principal village and administrative center on the island of Taha'a in French Polynesia.
  • E. Pichu Pichu
    Pichu Pichu is a large, eroded volcanic massif in southern Peru, known for its multiple peaks and cultural significance near the city of Arequipa.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ef089948190902ec22f4d7bc932 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6797954c8190ac05ee3db634efa7 completed May 9, 2026, 4:57 p.m.
NEDg Description generation batch_69ff68481ff881909c23ae20bd3a9ff8 completed May 9, 2026, 5 p.m.
NED2 Entity disambiguation (via description) batch_69ff6911a76c819088c8a86d2106b6c6 completed May 9, 2026, 5:04 p.m.
Created at: April 10, 2026, 4:15 a.m.