Triple
T9675234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republican era of China |
E234128
|
entity |
| Predicate | modernizationEffort |
P32208
|
FINISHED |
| Object | legal reforms |
—
|
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: legal reforms | Statement: [Republican era of China, modernizationEffort, legal reforms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernizationEffort Context triple: [Republican era of China, modernizationEffort, legal reforms]
-
A.
modernization
Indicates a process by which something is updated, reformed, or transformed to align with contemporary standards, technologies, or practices.
-
B.
modernizationType
Indicates the specific kind or category of modernization applied to an entity or system.
-
C.
modernizationPriority
Indicates the relative importance or urgency assigned to updating, improving, or replacing something with more modern methods, technologies, or standards.
-
D.
modernizationPurpose
Indicates that an action or change is carried out with the aim of updating, improving, or bringing something in line with contemporary standards, practices, or technologies.
-
E.
modernizationPolicy
chosen
Indicates the implementation or presence of policies aimed at updating, reforming, or advancing existing systems, structures, or practices.
- 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_69ca848f55e48190b3f67252571c3d45 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c6d6dd48190a77c486337a58cb6 |
completed | April 1, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b5d40c8190850ad7a351445f32 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:15 p.m.