Triple

T16045776
Position Surface form Disambiguated ID Type / Status
Subject Miyagino-ku E389213 entity
Predicate borderedBy P224 FINISHED
Object Rifu
Rifu is a town in Miyagi Prefecture, Japan, known as a suburban community near Sendai with residential areas and local commercial facilities.
 E1191264 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: Rifu | Statement: [Miyagino-ku, borderedBy, Rifu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rifu
Context triple: [Miyagino-ku, borderedBy, Rifu]
  • A. Kulisusu
    Kulisusu is a town and administrative center located in the province of Southeast Sulawesi, Indonesia.
  • B. Finguine
    Finguine is a legendary early Scottish figure regarded in tradition as the ancestral progenitor of Clan MacKinnon.
  • C. Rikrok
    Rikrok is a British-Jamaican reggae singer best known for his featured vocals on Shaggy’s global hit single “It Wasn't Me.”
  • D. Aruimi
    Aruimi is an alternative name used for the Aruwimi River, a major tributary of the Congo River in central Africa.
  • E. Rakitin
    Rakitin is a character in Ivan Turgenev’s play "Two Women" (also known as "A Month in the Country"), typically portrayed as an intelligent, observant friend whose unrequited love and ironic detachment highlight the emotional tensions among the main characters.
  • 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: Rifu
Triple: [Miyagino-ku, borderedBy, Rifu]
Generated description
Rifu is a town in Miyagi Prefecture, Japan, known as a suburban community near Sendai with residential areas and local commercial facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rifu
Target entity description: Rifu is a town in Miyagi Prefecture, Japan, known as a suburban community near Sendai with residential areas and local commercial facilities.
  • A. Kulisusu
    Kulisusu is a town and administrative center located in the province of Southeast Sulawesi, Indonesia.
  • B. Finguine
    Finguine is a legendary early Scottish figure regarded in tradition as the ancestral progenitor of Clan MacKinnon.
  • C. Rikrok
    Rikrok is a British-Jamaican reggae singer best known for his featured vocals on Shaggy’s global hit single “It Wasn't Me.”
  • D. Aruimi
    Aruimi is an alternative name used for the Aruwimi River, a major tributary of the Congo River in central Africa.
  • E. Rakitin
    Rakitin is a character in Ivan Turgenev’s play "Two Women" (also known as "A Month in the Country"), typically portrayed as an intelligent, observant friend whose unrequited love and ironic detachment highlight the emotional tensions among the main characters.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1835dd9a0819087e362cf5770232a completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbdbcf248190b7122d61d857e806 completed May 10, 2026, 1:14 a.m.
NEDg Description generation batch_69ffdcdb551c8190b367407b749314e8 completed May 10, 2026, 1:18 a.m.
NED2 Entity disambiguation (via description) batch_69ffddbfaf088190a644e7898f995c1d completed May 10, 2026, 1:22 a.m.
Created at: April 10, 2026, 4:56 a.m.