Triple

T18135277
Position Surface form Disambiguated ID Type / Status
Subject Mount Asama E434118 entity
Predicate nearCity P350 FINISHED
Object Tomi
Tomi is a city in Nagano Prefecture, Japan, known for its scenic rural landscapes and proximity to the active volcano Mount Asama.
 E1307355 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: Tomi | Statement: [Mount Asama, nearCity, Tomi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tomi
Context triple: [Mount Asama, nearCity, Tomi]
  • A. Tomomi
    Tomomi is a Japanese given name that can be used for people of any gender.
  • B. Toomai
    Toomai is a young elephant handler’s son from Rudyard Kipling’s *The Jungle Book*, known for his bravery and his special bond with elephants.
  • C. T.O.M.
    T.O.M. is the robotic host and mascot of Cartoon Network’s Toonami programming block, known for introducing shows and guiding viewers through the lineup in a futuristic spaceship setting.
  • D. Tommo
    Tommo is a familiar diminutive nickname commonly used for people named Thomas, especially in British and Australian contexts.
  • E. Tomok
    Tomok is a traditional Batak Toba village on Samosir Island in Lake Toba, Indonesia, known for its ancient stone tombs, cultural performances, and distinctive wooden houses.
  • 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: Tomi
Triple: [Mount Asama, nearCity, Tomi]
Generated description
Tomi is a city in Nagano Prefecture, Japan, known for its scenic rural landscapes and proximity to the active volcano Mount Asama.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tomi
Target entity description: Tomi is a city in Nagano Prefecture, Japan, known for its scenic rural landscapes and proximity to the active volcano Mount Asama.
  • A. Tomomi
    Tomomi is a Japanese given name that can be used for people of any gender.
  • B. Toomai
    Toomai is a young elephant handler’s son from Rudyard Kipling’s *The Jungle Book*, known for his bravery and his special bond with elephants.
  • C. T.O.M.
    T.O.M. is the robotic host and mascot of Cartoon Network’s Toonami programming block, known for introducing shows and guiding viewers through the lineup in a futuristic spaceship setting.
  • D. Tommo
    Tommo is a familiar diminutive nickname commonly used for people named Thomas, especially in British and Australian contexts.
  • E. Tomok
    Tomok is a traditional Batak Toba village on Samosir Island in Lake Toba, Indonesia, known for its ancient stone tombs, cultural performances, and distinctive wooden houses.
  • 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de0677088190aaf584882b3d74a1 completed April 19, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03854b5f0c8190b98070b06f67a766 completed May 12, 2026, 7:53 p.m.
NEDg Description generation batch_6a03861898948190b3ada048d9ea274c completed May 12, 2026, 7:57 p.m.
NED2 Entity disambiguation (via description) batch_6a0386bb53b88190b5cc7e747a9da903 completed May 12, 2026, 7:59 p.m.
Created at: April 10, 2026, 10:29 a.m.