Triple

T1077294
Position Surface form Disambiguated ID Type / Status
Subject UMTS E23867 entity
Predicate firstCommercialDeploymentCountry P1930 FINISHED
Object Japan E174 NE FINISHED

How this triple was built (3 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: Japan | Statement: [UMTS, firstCommercialDeploymentCountry, Japan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Japan
Context triple: [UMTS, firstCommercialDeploymentCountry, Japan]
  • A. Japan chosen
    Japan is an East Asian island nation in the Pacific Ocean known for its advanced technology, rich cultural heritage, and major cities such as Tokyo, Osaka, and Kyoto.
  • B. Honshu
    Honshu is the largest and most populous island of Japan, home to major cities such as Tokyo, Osaka, and Kyoto.
  • C. South Korea
    South Korea is an East Asian nation on the southern half of the Korean Peninsula, known for its advanced technology, vibrant pop culture, and rapid economic development.
  • D. Fujinomiya, Japan
    Fujinomiya, Japan is a city in Shizuoka Prefecture known as a gateway to Mount Fuji and for its scenic views, shrines, and local cuisine.
  • E. Oppama, Japan
    Oppama, Japan is an industrial coastal district in Yokosuka, Kanagawa Prefecture, best known for its major Nissan automobile manufacturing plant.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: firstCommercialDeploymentCountry
Context triple: [UMTS, firstCommercialDeploymentCountry, Japan]
  • A. launchedInCountry
    Indicates that an entity (such as a product, service, or mission) was officially initiated, introduced, or started within a specified country.
  • B. locationOfFirstCommercialUse chosen
    Indicates the place where something was first used commercially.
  • C. firstCommercialUse
    Indicates the earliest point in time at which something was used commercially or put into commercial operation.
  • D. countryOfAnnouncement
    Indicates the country in which something (such as an event, decision, or product) is officially announced.
  • E. firstDeployed
    Indicates the time or event when something (such as a system, product, or resource) was initially put into active use or operation.
  • F. None of above.

Provenance (4 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_69a493f1ddf48190a99d54b00e99f8ce completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b94288d88190aae4fb86236c0702 completed March 1, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac428ba1d88190bd2fd9d3de699291 completed March 7, 2026, 3:21 p.m.
PD Predicate disambiguation batch_69a4b73ba8208190be7f3cef8c18689b completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:42 p.m.