Triple

T15729254
Position Surface form Disambiguated ID Type / Status
Subject Lake Mashu E381297 entity
Predicate alsoKnownAs P39 FINISHED
Object Mashū-ko
Mashū-ko is a caldera lake in Hokkaido, Japan, renowned for its exceptional water clarity and scenic volcanic surroundings.
 E1185732 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: Mashū-ko | Statement: [Lake Mashu, alsoKnownAs, Mashū-ko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mashū-ko
Context triple: [Lake Mashu, alsoKnownAs, Mashū-ko]
  • A. Oki-no-mimi
    Oki-no-mimi is one of the principal peaks forming the summit area of Mount Tanigawa in Japan’s Tanigawa mountain range.
  • B. Shunkan
    Shunkan is a classical Japanese Noh play, traditionally attributed to Zeami Motokiyo, that dramatizes the exile and emotional torment of the monk Shunkan on Kikaigashima island.
  • C. Yamabiko
    Yamabiko is a high-speed Shinkansen train service in Japan that operates on the Tōhoku Shinkansen line, connecting Tokyo with northern regions such as Sendai.
  • D. Noboribetsu
    Noboribetsu is a hot spring resort city in Hokkaido, Japan, famed for its dramatic volcanic landscapes and numerous onsen.
  • E. Rinshunkaku
    Rinshunkaku is a historic Japanese-style pavilion located within Yokohama’s Sankeien Garden, known for its traditional architecture and scenic setting.
  • 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: Mashū-ko
Triple: [Lake Mashu, alsoKnownAs, Mashū-ko]
Generated description
Mashū-ko is a caldera lake in Hokkaido, Japan, renowned for its exceptional water clarity and scenic volcanic surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mashū-ko
Target entity description: Mashū-ko is a caldera lake in Hokkaido, Japan, renowned for its exceptional water clarity and scenic volcanic surroundings.
  • A. Oki-no-mimi
    Oki-no-mimi is one of the principal peaks forming the summit area of Mount Tanigawa in Japan’s Tanigawa mountain range.
  • B. Shunkan
    Shunkan is a classical Japanese Noh play, traditionally attributed to Zeami Motokiyo, that dramatizes the exile and emotional torment of the monk Shunkan on Kikaigashima island.
  • C. Yamabiko
    Yamabiko is a high-speed Shinkansen train service in Japan that operates on the Tōhoku Shinkansen line, connecting Tokyo with northern regions such as Sendai.
  • D. Noboribetsu
    Noboribetsu is a hot spring resort city in Hokkaido, Japan, famed for its dramatic volcanic landscapes and numerous onsen.
  • E. Rinshunkaku
    Rinshunkaku is a historic Japanese-style pavilion located within Yokohama’s Sankeien Garden, known for its traditional architecture and scenic setting.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb4cc0081909efe330339474017 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe650c8481909d1c1661b20eac73 completed May 9, 2026, 11:08 p.m.
NEDg Description generation batch_69ffbf3e80b08190899262a9d03c0e93 completed May 9, 2026, 11:11 p.m.
NED2 Entity disambiguation (via description) batch_69ffbfc0d1548190b7d2e9e10e837f0b completed May 9, 2026, 11:14 p.m.
Created at: April 10, 2026, 4:46 a.m.