Triple

T4038671
Position Surface form Disambiguated ID Type / Status
Subject Niseko E83888 entity
Predicate hasPart P35 FINISHED
Object Annupuri
Annupuri is a prominent mountain and ski area in the Niseko region of Hokkaido, Japan, known for its abundant powder snow and popular winter sports facilities.
 E408387 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: Annupuri | Statement: [Niseko, hasPart, Annupuri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Annupuri
Context triple: [Niseko, hasPart, Annupuri]
  • A. Jallikattu
    Jallikattu is a traditional bull-taming sport of Tamil Nadu, India, celebrated during the Pongal harvest festival and deeply tied to Tamil rural culture and identity.
  • B. Star of India
    The Star of India is a historic emblem and chivalric order created by the British Crown to honor loyalty and service among princes and officials in colonial India.
  • C. Padmavati
    Padmavati is a Bengali literary work by 19th-century poet Michael Madhusudan Dutt, reflecting his pioneering role in modern Bengali poetry and drama.
  • D. Yannai
    Yannai is another name for Alexander Jannaeus, a Hasmonean king of Judea and high priest who ruled in the early 1st century BCE.
  • E. Kesari
    Kesari is a figure in Hindu mythology known as the vanara chief and father of the deity Hanuman.
  • 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: Annupuri
Triple: [Niseko, hasPart, Annupuri]
Generated description
Annupuri is a prominent mountain and ski area in the Niseko region of Hokkaido, Japan, known for its abundant powder snow and popular winter sports facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Annupuri
Target entity description: Annupuri is a prominent mountain and ski area in the Niseko region of Hokkaido, Japan, known for its abundant powder snow and popular winter sports facilities.
  • A. Jallikattu
    Jallikattu is a traditional bull-taming sport of Tamil Nadu, India, celebrated during the Pongal harvest festival and deeply tied to Tamil rural culture and identity.
  • B. Star of India
    The Star of India is a historic emblem and chivalric order created by the British Crown to honor loyalty and service among princes and officials in colonial India.
  • C. Padmavati
    Padmavati is a Bengali literary work by 19th-century poet Michael Madhusudan Dutt, reflecting his pioneering role in modern Bengali poetry and drama.
  • D. Yannai
    Yannai is another name for Alexander Jannaeus, a Hasmonean king of Judea and high priest who ruled in the early 1st century BCE.
  • E. Kesari
    Kesari is a figure in Hindu mythology known as the vanara chief and father of the deity Hanuman.
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb37e24c81908d6357ab8ba5388d completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b55646e5d881909eadd0640a4f1796 completed March 14, 2026, 12:36 p.m.
NEDg Description generation batch_69b556fec4708190b221893ec35f1a38 completed March 14, 2026, 12:39 p.m.
NED2 Entity disambiguation (via description) batch_69b557f73cbc8190b904089ab0fa97d6 completed March 14, 2026, 12:43 p.m.
Created at: March 9, 2026, 3:37 p.m.