Triple
T3766395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japan National Stadium |
E82686
|
entity |
| Predicate | structuralEngineer |
P616
|
FINISHED |
| Object |
Azusa Sekkei
Azusa Sekkei is a prominent Japanese architectural and engineering firm known for designing major sports and public facilities.
|
E386046
|
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: Azusa Sekkei | Statement: [Japan National Stadium, structuralEngineer, Azusa Sekkei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azusa Sekkei Context triple: [Japan National Stadium, structuralEngineer, Azusa Sekkei]
-
A.
Isamu
Isamu is a Japanese given name commonly used for males, often associated with meanings related to courage or bravery.
-
B.
Moriyama
Moriyama is a Japanese city located in Shiga Prefecture, known for its position near Lake Biwa and its blend of residential areas and historical sites.
-
C.
Minoru
Minoru is a Japanese given name commonly used for males and borne by several notable figures in fields such as architecture, sports, and entertainment.
-
D.
Shijo Ohashi
Shijo Ohashi is a major bridge in central Kyoto, Japan, serving as a key crossing and landmark near the bustling Shijo district.
-
E.
Adachi
Adachi is a special ward in northern Tokyo, Japan, known as a primarily residential and industrial area along the Arakawa River.
- 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: Azusa Sekkei Triple: [Japan National Stadium, structuralEngineer, Azusa Sekkei]
Generated description
Azusa Sekkei is a prominent Japanese architectural and engineering firm known for designing major sports and public facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Azusa Sekkei Target entity description: Azusa Sekkei is a prominent Japanese architectural and engineering firm known for designing major sports and public facilities.
-
A.
Isamu
Isamu is a Japanese given name commonly used for males, often associated with meanings related to courage or bravery.
-
B.
Moriyama
Moriyama is a Japanese city located in Shiga Prefecture, known for its position near Lake Biwa and its blend of residential areas and historical sites.
-
C.
Minoru
Minoru is a Japanese given name commonly used for males and borne by several notable figures in fields such as architecture, sports, and entertainment.
-
D.
Shijo Ohashi
Shijo Ohashi is a major bridge in central Kyoto, Japan, serving as a key crossing and landmark near the bustling Shijo district.
-
E.
Adachi
Adachi is a special ward in northern Tokyo, Japan, known as a primarily residential and industrial area along the Arakawa River.
- 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_69ad8b207b0081909d2b48843fbd8795 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc0004608190a810ae0270ae2478 |
completed | March 8, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e5251d2481909f692937271a8013 |
completed | March 14, 2026, 4:33 a.m. |
| NEDg | Description generation | batch_69b4e73b64388190b1f32a9ec498bf11 |
completed | March 14, 2026, 4:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4e78a5dcc8190b25c9a35728bfb94 |
completed | March 14, 2026, 4:43 a.m. |
Created at: March 8, 2026, 3:35 p.m.