Triple
T17130097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of the Cloud and Banner |
E415697
|
entity |
| Predicate | ChineseName |
P744
|
FINISHED |
| Object |
雲麾勳章
雲麾勳章是中華民國政府頒授的一種軍事勳章,主要用以表彰在國防與軍事事務上有卓越貢獻的軍政人員與外國友人。
|
E1252711
|
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: 雲麾勳章 | Statement: [Order of the Cloud and Banner, ChineseName, 雲麾勳章]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 雲麾勳章 Context triple: [Order of the Cloud and Banner, ChineseName, 雲麾勳章]
-
A.
紅綬褒章
紅綬褒章は、日本において公共の利益のために多額の私財を寄付した個人などに授与される名誉ある褒章の一つです。
-
B.
紫綬褒章
紫綬褒章は、日本政府が学術、芸術、スポーツなどの分野で優れた業績を挙げた個人に授与する名誉ある褒章の一つです。
-
C.
大勲位菊花大綬章
大勲位菊花大綬章は、日本における勲章の中で最高位に位置づけられる栄典です。
-
D.
藍綬褒章
藍綬褒章 is a Japanese government decoration awarded to individuals and organizations in recognition of significant achievements in public welfare and service to the community.
-
E.
功一級金鵄勲章
功一級金鵄勲章は、かつて日本において軍事上の卓越した功績を挙げた者に授与された最高位クラスの金鵄勲章である。
- 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: 雲麾勳章 Triple: [Order of the Cloud and Banner, ChineseName, 雲麾勳章]
Generated description
雲麾勳章是中華民國政府頒授的一種軍事勳章,主要用以表彰在國防與軍事事務上有卓越貢獻的軍政人員與外國友人。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 雲麾勳章 Target entity description: 雲麾勳章是中華民國政府頒授的一種軍事勳章,主要用以表彰在國防與軍事事務上有卓越貢獻的軍政人員與外國友人。
-
A.
紅綬褒章
紅綬褒章は、日本において公共の利益のために多額の私財を寄付した個人などに授与される名誉ある褒章の一つです。
-
B.
紫綬褒章
紫綬褒章は、日本政府が学術、芸術、スポーツなどの分野で優れた業績を挙げた個人に授与する名誉ある褒章の一つです。
-
C.
大勲位菊花大綬章
大勲位菊花大綬章は、日本における勲章の中で最高位に位置づけられる栄典です。
-
D.
藍綬褒章
藍綬褒章 is a Japanese government decoration awarded to individuals and organizations in recognition of significant achievements in public welfare and service to the community.
-
E.
功一級金鵄勲章
功一級金鵄勲章は、かつて日本において軍事上の卓越した功績を挙げた者に授与された最高位クラスの金鵄勲章である。
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f029d1a48190a9d4094827d11d23 |
completed | April 18, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01414cd5d481908d11eb230d2283cd |
completed | May 11, 2026, 2:39 a.m. |
| NEDg | Description generation | batch_6a01422c0f088190b162c7086bc93585 |
completed | May 11, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0142f274ec819081eb15a3ea0e1b13 |
completed | May 11, 2026, 2:46 a.m. |
Created at: April 10, 2026, 5:36 a.m.