Triple

T10545247
Position Surface form Disambiguated ID Type / Status
Subject Hakuba Valley E248799 entity
Predicate hasSkiResort P1981 FINISHED
Object Jiigatake
Jiigatake is a ski resort in Japan’s Hakuba Valley, known for its gentler slopes and family-friendly atmosphere.
E869971 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: Jiigatake | Statement: [Hakuba Valley, hasSkiResort, Jiigatake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jiigatake
Context triple: [Hakuba Valley, hasSkiResort, Jiigatake]
  • A. Oshiage
    Oshiage is a district in Sumida, Tokyo, best known as the location of the Tokyo Skytree and its surrounding commercial complex.
  • B. Kanjizai
    Kanjizai is another name for Kannon, the bodhisattva of compassion in Buddhist tradition.
  • C. Kibushi
    Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
  • D. Taketa
    Taketa is a small historic city in Japan known for its scenic rural landscapes, hot springs, and castle ruins.
  • E. Komaki
    Komaki is a city in Aichi Prefecture, Japan, known for its historical sites, including Komaki Castle, and its role as part of the Nagoya metropolitan area.
  • 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: Jiigatake
Triple: [Hakuba Valley, hasSkiResort, Jiigatake]
Generated description
Jiigatake is a ski resort in Japan’s Hakuba Valley, known for its gentler slopes and family-friendly atmosphere.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jiigatake
Target entity description: Jiigatake is a ski resort in Japan’s Hakuba Valley, known for its gentler slopes and family-friendly atmosphere.
  • A. Oshiage
    Oshiage is a district in Sumida, Tokyo, best known as the location of the Tokyo Skytree and its surrounding commercial complex.
  • B. Kanjizai
    Kanjizai is another name for Kannon, the bodhisattva of compassion in Buddhist tradition.
  • C. Kibushi
    Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
  • D. Taketa
    Taketa is a small historic city in Japan known for its scenic rural landscapes, hot springs, and castle ruins.
  • E. Komaki
    Komaki is a city in Aichi Prefecture, Japan, known for its historical sites, including Komaki Castle, and its role as part of the Nagoya metropolitan area.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d519128cac819086c93f3bab854ac2 completed April 7, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9343c5c308190952596e5254b6a65 completed April 10, 2026, 5:32 p.m.
NEDg Description generation batch_69d938c8b25c8190bb048053d8668e5c completed April 10, 2026, 5:52 p.m.
NED2 Entity disambiguation (via description) batch_69d939b1844881908c8fbcb9488863f6 completed April 10, 2026, 5:56 p.m.
Created at: April 6, 2026, 12:33 p.m.