Triple
T32385179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ban Liang |
E827527
|
entity |
| Predicate | associatedWithReformBy |
—
|
GENERATED |
| Object | Qin Shi Huang |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithReformBy Context triple: [Ban Liang, associatedWithReformBy, Qin Shi Huang]
-
A.
associatedReform
Indicates a relationship where one entity is linked to, connected with, or involved in a particular reform or set of reforms.
-
B.
associatedReforms
Indicates a relationship where certain reforms are linked or connected to a given entity, such as a policy, event, or individual.
-
C.
associatedWithReformMovement
Indicates that an entity is connected or linked in some way to a reform movement, such as by participation, support, influence, or affiliation.
-
D.
associatedWithLegalReforms
Indicates a relationship where an entity is connected to, involved in, or influenced by specific legal reforms or changes in law.
-
E.
reformsBy
chosen
Indicates that one entity initiates, implements, or is responsible for changes or improvements (reforms) affecting another entity.
- F. None of above.
Provenance (1 batch)
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_69f349184e7481909c6c54428cb9cf12 |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:51 a.m.