Triple

T3753151
Position Surface form Disambiguated ID Type / Status
Subject Como E81378 entity
Predicate twinnedWith P1072 FINISHED
Object Tokamachi
Tokamachi is a city in Niigata Prefecture, Japan, known for its heavy snowfall, traditional textile industry, and scenic rural landscapes.
 E385478 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: Tokamachi | Statement: [Como, twinnedWith, Tokamachi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tokamachi
Context triple: [Como, twinnedWith, Tokamachi]
  • A. Tokoname
    Tokoname is a coastal city in Aichi Prefecture, Japan, historically renowned as one of the country’s Six Ancient Kilns for its distinctive ceramic and pottery production.
  • B. Tokoro
    Tokoro is a coastal district of Kitami City in Hokkaido, Japan, known historically for its fishing industry and drift ice along the Sea of Okhotsk.
  • C. Towa
    Towa is a Native American Tanoan language spoken primarily by the Jemez Pueblo people of northern New Mexico.
  • D. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • E. Katane
    Katane is the ancient name of the city now known as Catania, located on the eastern coast of Sicily, Italy.
  • 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: Tokamachi
Triple: [Como, twinnedWith, Tokamachi]
Generated description
Tokamachi is a city in Niigata Prefecture, Japan, known for its heavy snowfall, traditional textile industry, and scenic rural landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tokamachi
Target entity description: Tokamachi is a city in Niigata Prefecture, Japan, known for its heavy snowfall, traditional textile industry, and scenic rural landscapes.
  • A. Tokoname
    Tokoname is a coastal city in Aichi Prefecture, Japan, historically renowned as one of the country’s Six Ancient Kilns for its distinctive ceramic and pottery production.
  • B. Tokoro
    Tokoro is a coastal district of Kitami City in Hokkaido, Japan, known historically for its fishing industry and drift ice along the Sea of Okhotsk.
  • C. Towa
    Towa is a Native American Tanoan language spoken primarily by the Jemez Pueblo people of northern New Mexico.
  • D. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • E. Katane
    Katane is the ancient name of the city now known as Catania, located on the eastern coast of Sicily, Italy.
  • 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_69ad8b19b7b08190a6188804e99c53e9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb9340e0819083215989718b4598 completed March 8, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e5044f3c8190969828966b37e729 completed March 14, 2026, 4:33 a.m.
NEDg Description generation batch_69b4e587f8588190bf3a1c744433619b completed March 14, 2026, 4:35 a.m.
NED2 Entity disambiguation (via description) batch_69b4e61dc8bc81909b683e54cd4ca2f6 completed March 14, 2026, 4:37 a.m.
Created at: March 8, 2026, 3:35 p.m.