Triple
T30677187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 隨 |
E780944
|
entity |
| Predicate | equivalentInVietnameseChuNom |
P172528
|
FINISHED |
| Object | 隨 |
—
|
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: 隨 | Statement: [隨, equivalentInVietnameseChuNom, 隨]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: equivalentInVietnameseChuNom Context triple: [隨, equivalentInVietnameseChuNom, 隨]
-
A.
equivalentInJapaneseKanji
Indicates that one entity has the same meaning or value as another entity when written in Japanese Kanji.
-
B.
hasVietnameseReading
Indicates that an entity is associated with a specific reading or pronunciation in the Vietnamese language.
-
C.
hasMeaningInVietnamese
Indicates that something (such as a word, phrase, or symbol) possesses a specific meaning when used in the Vietnamese language.
-
D.
nameInVietnamese
Indicates that one entity is the Vietnamese-language name or designation of another entity.
-
E.
WadeGilesForm
Indicates that one entity is the Wade–Giles romanized form corresponding to another entity’s written or spoken Chinese form.
- F. None of above. chosen
Provenance (4 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_69f224a7fc208190a07d6d3879b31640 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6ac1ed23c8190ace57ffc9d8a3dc6 |
completed | May 3, 2026, 1:59 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1e84b88190b025f6ca40f17a8a |
completed | May 3, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69f6aba8fba48190bc1a17117244cae1 |
completed | May 3, 2026, 1:58 a.m. |
Created at: April 29, 2026, 8:32 p.m.