Triple
T16684314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thiệu Trị |
E405418
|
entity |
| Predicate | scriptUsedInEdicts |
P124243
|
FINISHED |
| Object | classical Chinese |
—
|
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: classical Chinese | Statement: [Thiệu Trị, scriptUsedInEdicts, classical Chinese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptUsedInEdicts Context triple: [Thiệu Trị, scriptUsedInEdicts, classical Chinese]
-
A.
numberOfEdicts
Indicates the total count of edicts associated with or issued by a given entity.
-
B.
thirdEdictContent
Indicates the specific directive, rule, or message expressed in the third edict of a defined set of edicts.
-
C.
scripturalUse
Indicates that one entity is used as a scriptural reference, source, or basis within the context or content of another entity.
-
D.
usedInScripts
Indicates that something (such as a tool, method, or resource) is employed or referenced within one or more scripts.
-
E.
usesCodeOfCanons
Indicates that one entity applies, follows, or is governed by a specified code of canons (a formal set of rules or laws).
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d71a66881908c8d06cc074fdf29 |
completed | April 18, 2026, 12:47 p.m. |
| PD | Predicate disambiguation | batch_69e319bc73908190a0e38bc926b31f10 |
completed | April 18, 2026, 5:42 a.m. |
| PDg | Predicate description generation | batch_69e326b9e84881909a9166e65bd850d6 |
completed | April 18, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:19 a.m.