Triple
T3981459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USPS Domestic Mail Manual |
E85766
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
DMM
DMM is the United States Postal Service’s Domestic Mail Manual, which sets the official standards and regulations for mailing within the United States.
|
E403313
|
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: DMM | Statement: [USPS Domestic Mail Manual, shortName, DMM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DMM Context triple: [USPS Domestic Mail Manual, shortName, DMM]
-
A.
Shibuya 109
Shibuya 109 is a famous multi-story fashion shopping mall in Tokyo known as a trendsetting hub for youth and street fashion.
-
B.
Daruma Market
Daruma Market is a traditional Japanese fair in Takasaki famous for its sale of daruma dolls, which are used as good-luck charms and symbols of perseverance.
-
C.
Akihabara
Akihabara is a famous Tokyo district known as a major center for electronics, anime, manga, and otaku culture.
-
D.
DMW
DMW is a Nigerian record label founded by Afrobeats star Davido, known for nurturing prominent contemporary African music talents.
-
E.
Odakyu department store
Odakyu department store is a major Japanese department store chain best known for its large flagship store complex in Tokyo’s Shinjuku district.
- 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: DMM Triple: [USPS Domestic Mail Manual, shortName, DMM]
Generated description
DMM is the United States Postal Service’s Domestic Mail Manual, which sets the official standards and regulations for mailing within the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DMM Target entity description: DMM is the United States Postal Service’s Domestic Mail Manual, which sets the official standards and regulations for mailing within the United States.
-
A.
Shibuya 109
Shibuya 109 is a famous multi-story fashion shopping mall in Tokyo known as a trendsetting hub for youth and street fashion.
-
B.
Daruma Market
Daruma Market is a traditional Japanese fair in Takasaki famous for its sale of daruma dolls, which are used as good-luck charms and symbols of perseverance.
-
C.
Akihabara
Akihabara is a famous Tokyo district known as a major center for electronics, anime, manga, and otaku culture.
-
D.
DMW
DMW is a Nigerian record label founded by Afrobeats star Davido, known for nurturing prominent contemporary African music talents.
-
E.
Odakyu department store
Odakyu department store is a major Japanese department store chain best known for its large flagship store complex in Tokyo’s Shinjuku district.
- 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_69aed93908348190a26c8aaf4fab3e86 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9db804c8190ad96656cb7b1a4fe |
completed | March 9, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54021ae388190a9518ea85b760736 |
completed | March 14, 2026, 11:01 a.m. |
| NEDg | Description generation | batch_69b541340dbc819081538517267f390f |
completed | March 14, 2026, 11:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b54193105c81909e2a4e368aae36e8 |
completed | March 14, 2026, 11:08 a.m. |
Created at: March 9, 2026, 3:33 p.m.