Triple

T9319476
Position Surface form Disambiguated ID Type / Status
Subject Kumamoto Prefecture E224208 entity
Predicate contains P35 FINISHED
Object Yamaga
Yamaga is a historic city in Japan known for its traditional lantern festival and hot spring resorts in northern Kumamoto Prefecture.
E877087 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: Yamaga | Statement: [Kumamoto Prefecture, contains, Yamaga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yamaga
Context triple: [Kumamoto Prefecture, contains, Yamaga]
  • A. Gushikawa
    Gushikawa was a former city in Okinawa Prefecture, Japan, that later became part of the modern city of Uruma.
  • B. Yamakita
    Yamakita is a rural town in Kanagawa Prefecture, Japan, known for its mountainous terrain, hot springs, and access to outdoor activities such as hiking and river sports.
  • C. Yashio
    Yashio is a district in Tokyo’s Shinagawa Ward, known primarily as a modern waterfront residential and commercial area.
  • D. Yashio
    Yashio is a city in Saitama Prefecture, Japan, located on the outskirts of Tokyo and functioning largely as a residential commuter town.
  • E. Yamakoshi
    Yamakoshi is a recurring character from the Disney XD sitcom "Pair of Kings," known as a mystical fish with prophetic abilities and a quirky, comedic presence.
  • 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: Yamaga
Triple: [Kumamoto Prefecture, contains, Yamaga]
Generated description
Yamaga is a historic city in Japan known for its traditional lantern festival and hot spring resorts in northern Kumamoto Prefecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yamaga
Target entity description: Yamaga is a historic city in Japan known for its traditional lantern festival and hot spring resorts in northern Kumamoto Prefecture.
  • A. Gushikawa
    Gushikawa was a former city in Okinawa Prefecture, Japan, that later became part of the modern city of Uruma.
  • B. Yamakita
    Yamakita is a rural town in Kanagawa Prefecture, Japan, known for its mountainous terrain, hot springs, and access to outdoor activities such as hiking and river sports.
  • C. Yashio
    Yashio is a district in Tokyo’s Shinagawa Ward, known primarily as a modern waterfront residential and commercial area.
  • D. Yashio
    Yashio is a city in Saitama Prefecture, Japan, located on the outskirts of Tokyo and functioning largely as a residential commuter town.
  • E. Yamakoshi
    Yamakoshi is a recurring character from the Disney XD sitcom "Pair of Kings," known as a mystical fish with prophetic abilities and a quirky, comedic presence.
  • 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_69ca8426d48481909596360f7791c7dd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd358c7d348190a10fd8670d7756f5 completed April 1, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d979c21f5481908bea7fd2c70d2c0b completed April 10, 2026, 10:29 p.m.
NEDg Description generation batch_69d97c7bc87481908d50eb6f294170eb completed April 10, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69d97e015b088190a97822675eecaa5a completed April 10, 2026, 10:47 p.m.
Created at: March 30, 2026, 7:38 p.m.