Triple

T89859
Position Surface form Disambiguated ID Type / Status
Subject Kansai region E1806 entity
Predicate contains P35 FINISHED
Object Mie
Mie is a prefecture in central Japan known for its coastal landscapes, historic Ise Grand Shrine, and traditional pearl cultivation.
 E34282 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: Mie | Statement: [Kansai region, contains, Mie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mie
Context triple: [Kansai region, contains, Mie]
  • A. Mori
    Mori is a Japanese surname shared by various notable individuals across fields such as entertainment, sports, and politics.
  • B. Matsubara
    Matsubara is a suburban city in Japan’s Kansai region, located within Osaka Prefecture and forming part of the Osaka metropolitan area.
  • C. Hyakutake
    Hyakutake is a Japanese surname borne by several notable individuals, including military figures and other public personalities.
  • D. Kaiyukan
    Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
  • E. Tenjin
    Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
  • 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: Mie
Triple: [Kansai region, contains, Mie]
Generated description
Mie is a prefecture in central Japan known for its coastal landscapes, historic Ise Grand Shrine, and traditional pearl cultivation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mie
Target entity description: Mie is a prefecture in central Japan known for its coastal landscapes, historic Ise Grand Shrine, and traditional pearl cultivation.
  • A. Mori
    Mori is a Japanese surname shared by various notable individuals across fields such as entertainment, sports, and politics.
  • B. Matsubara
    Matsubara is a suburban city in Japan’s Kansai region, located within Osaka Prefecture and forming part of the Osaka metropolitan area.
  • C. Hyakutake
    Hyakutake is a Japanese surname borne by several notable individuals, including military figures and other public personalities.
  • D. Kaiyukan
    Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
  • E. Tenjin
    Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
  • 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_69a24d1a97dc819094e6c021fe9b05a7 completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a383e3575c8190932dcdc25503d06e completed March 1, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69a38611d3808190834c96fe39f9cf0d completed March 1, 2026, 12:19 a.m.
NEDg Description generation batch_69a386883e74819090d26dff200cb267 completed March 1, 2026, 12:21 a.m.
NED2 Entity disambiguation (via description) batch_69a386f03ac08190a2645a325bb73fcd completed March 1, 2026, 12:23 a.m.
Created at: Feb. 28, 2026, 2:07 a.m.