Triple

T17828735
Position Surface form Disambiguated ID Type / Status
Subject Kamikawa Subprefecture E445192 entity
Predicate contains P35 FINISHED
Object Toma
Toma is a small town located in Kamikawa Subprefecture on Japan’s northern island of Hokkaido.
 E1289020 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: Toma | Statement: [Kamikawa Subprefecture, contains, Toma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Toma
Context triple: [Kamikawa Subprefecture, contains, Toma]
  • A. Toma
    Toma is a traditional semi-hard cow’s milk cheese from Italy’s Piedmont region, known for its mild, buttery flavor and smooth, elastic texture.
  • B. Toma
    Toma is a major Mande language spoken primarily in Guinea and neighboring West African countries.
  • C. Saca
    Saca is a Spanish-language surname most notably associated with former Salvadoran president Antonio Saca.
  • D. Tanto
    Tanto was a former town in Hyōgo Prefecture, Japan, that later became part of the expanded city of Toyooka through municipal merger.
  • E. Tomei
    Tomei is the surname of American actress Marisa Tomei, known for her Academy Award–winning performance in "My Cousin Vinny" and numerous film and television roles.
  • 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: Toma
Triple: [Kamikawa Subprefecture, contains, Toma]
Generated description
Toma is a small town located in Kamikawa Subprefecture on Japan’s northern island of Hokkaido.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Toma
Target entity description: Toma is a small town located in Kamikawa Subprefecture on Japan’s northern island of Hokkaido.
  • A. Toma
    Toma is a major Mande language spoken primarily in Guinea and neighboring West African countries.
  • B. Toma
    Toma is a traditional semi-hard cow’s milk cheese from Italy’s Piedmont region, known for its mild, buttery flavor and smooth, elastic texture.
  • C. Saca
    Saca is a Spanish-language surname most notably associated with former Salvadoran president Antonio Saca.
  • D. Tanto
    Tanto was a former town in Hyōgo Prefecture, Japan, that later became part of the expanded city of Toyooka through municipal merger.
  • E. Tomei
    Tomei is the surname of American actress Marisa Tomei, known for her Academy Award–winning performance in "My Cousin Vinny" and numerous film and television roles.
  • 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_69e4891696cc819092ee6db7c4a6fae1 completed April 19, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02ff6ef154819087a1d3781e475167 completed May 12, 2026, 10:22 a.m.
NEDg Description generation batch_6a03001b0368819084136d1f88d8a01a completed May 12, 2026, 10:25 a.m.
NED2 Entity disambiguation (via description) batch_6a0300cea244819080acab78691afd16 completed May 12, 2026, 10:28 a.m.
Created at: April 10, 2026, 10:15 a.m.