Triple
T2320607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Self-Strengthening Movement |
E51169
|
entity |
| Predicate | industrialReform |
P4888
|
FINISHED |
| Object | state-sponsored enterprises |
—
|
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: state-sponsored enterprises | Statement: [Self-Strengthening Movement, industrialReform, state-sponsored enterprises]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: industrialReform Context triple: [Self-Strengthening Movement, industrialReform, state-sponsored enterprises]
-
A.
modernIndustry
Indicates that an entity operates within or is characteristic of contemporary, technologically advanced industrial practices and sectors.
-
B.
modernizationPolicy
Indicates the implementation or presence of policies aimed at updating, reforming, or advancing existing systems, structures, or practices.
-
C.
economicTransition
Indicates a change in an entity’s economic system, structure, or status from one state or model to another.
-
D.
notableReform
Indicates that an entity is recognized for having initiated, led, or been central to a significant reform or transformative change in a system, policy, or institution.
-
E.
reform
chosen
Indicates bringing about significant changes to an existing system, practice, or entity in order to improve or correct it.
- 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_69a88b074b908190ae983dbca7757d88 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc685f05481909c863b29d1f6bacd |
completed | March 7, 2026, 6:32 a.m. |
| PD | Predicate disambiguation | batch_69abc5909cc48190aab257313542dc49 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:49 p.m.