Triple

T17834704
Position Surface form Disambiguated ID Type / Status
Subject Tochigi Prefecture E445351 entity
Predicate containsCity P294 FINISHED
Object Sano
Sano is a city in Japan known for its location in southern Tochigi Prefecture and its specialty Sano ramen.
 E1291104 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: Sano | Statement: [Tochigi Prefecture, containsCity, Sano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sano
Context triple: [Tochigi Prefecture, containsCity, Sano]
  • A. Sanem
    Sanem is a commune and town in southwestern Luxembourg known for its historic castle and proximity to the industrial city of Esch-sur-Alzette.
  • B. Sanaig
    Sanaig is a core single malt Scotch whisky expression from Islay’s Kilchoman distillery, known for its balance of bourbon and sherry cask influence with a characteristically smoky, coastal profile.
  • C. Saane
    The Saane, also known as the Sarine, is a major river in western Switzerland that flows through the canton of Fribourg before joining the Aare.
  • D. Sinnar
    Sinnar is a town in the Nashik district of Maharashtra, India, known for its historical temples and growing industrial development.
  • E. Sa’och
    Sa’och is an indigenous Pearic language (and its associated ethnic group) of mainland Southeast Asia, traditionally spoken by a small community in Cambodia and nearby regions.
  • 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: Sano
Triple: [Tochigi Prefecture, containsCity, Sano]
Generated description
Sano is a city in Japan known for its location in southern Tochigi Prefecture and its specialty Sano ramen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sano
Target entity description: Sano is a city in Japan known for its location in southern Tochigi Prefecture and its specialty Sano ramen.
  • A. Sanem
    Sanem is a commune and town in southwestern Luxembourg known for its historic castle and proximity to the industrial city of Esch-sur-Alzette.
  • B. Sanaig
    Sanaig is a core single malt Scotch whisky expression from Islay’s Kilchoman distillery, known for its balance of bourbon and sherry cask influence with a characteristically smoky, coastal profile.
  • C. Saane
    The Saane, also known as the Sarine, is a major river in western Switzerland that flows through the canton of Fribourg before joining the Aare.
  • D. Sinnar
    Sinnar is a town in the Nashik district of Maharashtra, India, known for its historical temples and growing industrial development.
  • E. Sa’och
    Sa’och is an indigenous Pearic language (and its associated ethnic group) of mainland Southeast Asia, traditionally spoken by a small community in Cambodia and nearby regions.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d271e4481909664897cb789fe4a completed April 19, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0306f83e748190b9d111b12ee8e0b8 completed May 12, 2026, 10:54 a.m.
NEDg Description generation batch_6a0308403f7c81908570458c944eae34 completed May 12, 2026, 11 a.m.
NED2 Entity disambiguation (via description) batch_6a0308d5d69481908402f366e561b8c0 completed May 12, 2026, 11:02 a.m.
Created at: April 10, 2026, 10:16 a.m.