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.