Triple

T7715206
Position Surface form Disambiguated ID Type / Status
Subject Japan Post E174861 entity
Predicate brand P1500 FINISHED
Object レターパック (Letter Pack)
レターパック(Letter Pack)は、日本郵便が提供する全国一律料金・追跡可能な封筒型の小型荷物配送サービスブランドです。
E685077 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: レターパック (Letter Pack) | Statement: [Japan Post, brand, レターパック (Letter Pack)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: レターパック (Letter Pack)
Context triple: [Japan Post, brand, レターパック (Letter Pack)]
  • A. Parcel
    Parcel is a zero-configuration web application bundler known for its fast performance, automatic code splitting, and built-in support for modern JavaScript tooling.
  • B. PAL Express
    PAL Express is a Philippine low-cost regional airline brand operating domestic and select international flights on behalf of Philippine Airlines.
  • C. Travelling Post Office
    The Travelling Post Office was a British railway-based mail service in which specially equipped trains sorted and transported postal items while in motion.
  • D. Bosta
    Bosta is a coastal area on the Isle of Lewis in Scotland, best known for its reconstructed Iron Age house and archaeological remains revealed by shifting sands.
  • E. Peket
    Peket is a traditional juniper-flavored spirit from the Liège region of Belgium, often enjoyed as a local specialty at festivals and bars.
  • 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: レターパック (Letter Pack)
Triple: [Japan Post, brand, レターパック (Letter Pack)]
Generated description
レターパック(Letter Pack)は、日本郵便が提供する全国一律料金・追跡可能な封筒型の小型荷物配送サービスブランドです。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: レターパック (Letter Pack)
Target entity description: レターパック(Letter Pack)は、日本郵便が提供する全国一律料金・追跡可能な封筒型の小型荷物配送サービスブランドです。
  • A. Parcel
    Parcel is a zero-configuration web application bundler known for its fast performance, automatic code splitting, and built-in support for modern JavaScript tooling.
  • B. PAL Express
    PAL Express is a Philippine low-cost regional airline brand operating domestic and select international flights on behalf of Philippine Airlines.
  • C. Travelling Post Office
    The Travelling Post Office was a British railway-based mail service in which specially equipped trains sorted and transported postal items while in motion.
  • D. Bosta
    Bosta is a coastal area on the Isle of Lewis in Scotland, best known for its reconstructed Iron Age house and archaeological remains revealed by shifting sands.
  • E. Peket
    Peket is a traditional juniper-flavored spirit from the Liège region of Belgium, often enjoyed as a local specialty at festivals and bars.
  • 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_69c6995c463c8190a14458036249d419 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702cbe74081908502ac670515fa3c completed March 27, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b508fa2081908ed05ca8c4815249 completed March 29, 2026, 5:13 a.m.
NEDg Description generation batch_69c8b7b90d74819098b878c382474d6d completed March 29, 2026, 5:25 a.m.
NED2 Entity disambiguation (via description) batch_69c8b81816c081909f409d06ccffbe04 completed March 29, 2026, 5:26 a.m.
Created at: March 27, 2026, 4:04 p.m.