Triple

T5377921
Position Surface form Disambiguated ID Type / Status
Subject Fukuoka Prefecture E113007 entity
Predicate hasCity P316 FINISHED
Object Yame
Yame is a city in southwestern Japan renowned for its high-quality green tea production and traditional crafts.
 E740261 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: Yame | Statement: [Fukuoka Prefecture, hasCity, Yame]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yame
Context triple: [Fukuoka Prefecture, hasCity, Yame]
  • A. Yawata
    Yawata is a city in Japan known for its historic Iwashimizu Hachimangū Shrine and its location in the southern part of Kyoto Prefecture.
  • B. Kaizuka
    Kaizuka is a coastal city in Osaka Prefecture, Japan, known for its historical temples, traditional festivals, and proximity to Osaka Bay.
  • C. Kashihara
    Kashihara is a city in Nara Prefecture, Japan, historically associated with the legendary founding of the Japanese imperial line and home to significant Shinto sites.
  • D. Kurume
    Kurume is a mid-sized city in southwestern Japan known for its traditional textile industry, ramen culture, and location along the Chikugo River in Fukuoka Prefecture.
  • E. Ōsaki
    Ōsaki is a major commercial and business district in Tokyo known for its high-rise office complexes and convenient rail connections.
  • 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: Yame
Triple: [Fukuoka Prefecture, hasCity, Yame]
Generated description
Yame is a city in southwestern Japan renowned for its high-quality green tea production and traditional crafts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yame
Target entity description: Yame is a city in southwestern Japan renowned for its high-quality green tea production and traditional crafts.
  • A. Yawata
    Yawata is a city in Japan known for its historic Iwashimizu Hachimangū Shrine and its location in the southern part of Kyoto Prefecture.
  • B. Kaizuka
    Kaizuka is a coastal city in Osaka Prefecture, Japan, known for its historical temples, traditional festivals, and proximity to Osaka Bay.
  • C. Kashihara
    Kashihara is a city in Nara Prefecture, Japan, historically associated with the legendary founding of the Japanese imperial line and home to significant Shinto sites.
  • D. Kurume
    Kurume is a mid-sized city in southwestern Japan known for its traditional textile industry, ramen culture, and location along the Chikugo River in Fukuoka Prefecture.
  • E. Ōsaki
    Ōsaki is a major commercial and business district in Tokyo known for its high-rise office complexes and convenient rail connections.
  • 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_69bd4436a1988190af18dcff7fd306b4 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd86cb13ac81909dc364e7d3605844 completed March 20, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6c7d795081909fc85cc99e11c971 completed April 2, 2026, 1:17 p.m.
NEDg Description generation batch_69ce6e66c5e48190badcc5e075892006 completed April 2, 2026, 1:25 p.m.
NED2 Entity disambiguation (via description) batch_69ce6f0cc434819089e78d24dfee5361 completed April 2, 2026, 1:28 p.m.
Created at: March 20, 2026, 2:03 p.m.