Triple
T2797037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gold and Silver Star |
E53060
|
entity |
| Predicate | nameInJapaneseScript |
P28734
|
FINISHED |
| Object | 瑞宝重光章 |
—
|
LITERAL FINISHED |
How this triple was built (2 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: 瑞宝重光章 | Statement: [Gold and Silver Star, nameInJapaneseScript, 瑞宝重光章]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameInJapaneseScript Context triple: [Gold and Silver Star, nameInJapaneseScript, 瑞宝重光章]
-
A.
nameInJapaneseKana
Indicates that an entity’s name is written or represented using Japanese kana characters.
-
B.
hasNameInJapanese
chosen
Indicates that an entity is associated with a specific name expressed in the Japanese language.
-
C.
hasOfficialNameInJapanese
Indicates that an entity has an official, formally recognized name expressed in the Japanese language.
-
D.
eraNameInJapanese
Indicates the Japanese-language name used for a specific historical or calendar era.
-
E.
usesKatakanaFor
Indicates that one entity is written or represented using katakana script in relation to another entity.
- F. None of above.
Provenance (3 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abddf0f4988190bffc3abab7edbb81 |
completed | March 7, 2026, 8:12 a.m. |
| PD | Predicate disambiguation | batch_69abdd040f9481908e9c7a2df88ea1ae |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:58 p.m.